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Posted 2 weeks
Senior Forward Deployed Engineer, Palantir
Deloitte - Jacksonville, FL 32202
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on 10/30/2026. Work you'll do As a Lead Engineering and Product Engineer II, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: Client Engagement Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. Partner with leaders, product owners, architects, and engineers to align priorities and delivery. Lead working sessions to shape solutions and drive client outcomes. Prototype and deliver working AI solutions using industry expertise and emerging capabilities. Contribute independently within an FDE pod while mentoring newer team members. Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success. Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer. Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital. Solution Engineering Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms. Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls. Apply architecture decisions that balance quality, safety, latency, cost, and model risk. Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation. Design extensible functionality, support sprint sizing, and align solutions with senior team members. Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations. The team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Required qualifications Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 1+ years of experience with Palantir including hands on experience with one of the following key platforms; Foundry, AIP, Maven 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions 1+ years of experience building reliable, maintainable, and well-documented code Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve Limited immigration sponsorship may be available Preferred qualifications Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures Experience operating within hybrid onshore/offshore teams Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600-$306,800. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Posted 2 weeks
AI Data Engineer Senior Consultant
Deloitte - Jacksonville, FL 32202
AI Data Engineer Senior Consultant Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions. This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline. Recruiting for this role ends on 08/30/2026. Work you'll do As an AI Data Engineer Senior Consultant on the HC Forward team, you will be responsible for building and operating the governed data, feature, and retrieval foundations that support artificial intelligence, machine learning, and generative artificial intelligence solutions. Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product requirements into technical designs and delivered solutions, including application programming interfaces, services, pipelines, and containerized or serverless components Build and operationalize large language model-enabled capabilities, including copilots, knowledge assistants, summarization, and policy question-and-answer solutions using secure endpoints, tool calling, and reusable prompt and context patterns Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and backfills Implement privacy, access, quality, lineage, monitoring, observability, testing, deployment, and incident response practices for production artificial intelligence and data solutions A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The team HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes. Qualifications Required: Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field 4+ years of experience building and delivering large language model or generative artificial intelligence solutions using Claude-, GPT-, or Gemini-class models, including prompt design, context design, tool calling, evaluation, and production integration 4+ years of experience implementing retrieval-augmented generation, document processing, embeddings, and vector or hybrid search in enterprise environments 4+ years of experience in data engineering, including data modeling, batch or streaming pipelines, structured and unstructured data processing, and feature engineering 4+ years of experience building production inference services and enterprise integrations using application programming interfaces, Representational State Transfer (REST), GraphQL, event-driven patterns, continuous integration and continuous deployment, infrastructure as code, Docker, Kubernetes, and monitoring tools Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred: Master's degree or doctorate in Computer Science, Engineering, Statistics, Data Science, or a similar field Cloud or artificial intelligence or machine learning certification 4+ years of experience with Workday, SAP SuccessFactors, Oracle HCM, Salesforce, or human resources data domains 4+ years of experience operationalizing machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management 4+ years of experience using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and scalable compute 4+ years of experience translating business requirements into acceptance criteria and release increments The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $208,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at [email protected] . For more information about Human Capital, visit our landing page at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html #HCFY26 #IIOFY26
Posted 2 weeks
AI Data Engineer Manager
Deloitte - Jacksonville, FL 32202
AI Data EngineerManager Position Summary Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey. Recruiting for this role ends on 08/30/2026. Work you'll do The AI Data Engineer Manager will lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through consumption. You will design and operationalize modern data and retrieval foundations to support LLM-powered applications (e.g., Claude, GPT/Codex, Gemini) including patterns such as RAG, embeddings, vector search, and governed access to structured and unstructured data. You will manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring. This role blends hands-on technical leadership with delivery management and team development, driving consistent engineering standards and measurable outcomes in client environments. Strategic Alignment and Vision* Help define the AI/ML/GenAI technical direction and vision, ensuring alignment with strategic goals and digital transformation efforts. * Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases Architectural Design* Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems. Design and Technology Selection* Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools. * Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models. Research and Development* Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost. * Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions. Collaboration and Stakeholder Engagement* Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss best design. * Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements. Consulting & Advisory* Serve as a technical advisor to leadership, providing insights on AI trends, potential business impacts, and implementation best practices. Operational Excellence and Continuous Improvement* Be responsible for the successful execution of AI-powered applications using agile methodology. * Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms. * Contribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements. Risk Management and Ethical Considerations* Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations. * Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Product Strategy and Business Understanding* Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products. * Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches. Tool Development and Data Management* Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization. * Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure. A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The team HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes. Qualifications Required: Bachelor's degree in Computer Science, Statistics, Data Science, Information Systems or related field. 6+ years of consulting experience leading delivery teams, including onshore and offshore team members 6+ years of experience gathering non-functional requirements and defining application architecture frameworks, including validation and testing deliverables 5+ years of experience working in an AI environment 5+ years of experience translating requirements into client ready design documents 5+ years of experience in software application architecture analysis, design, and delivery 5+ years of experience executing full system development life cycle implementations Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred: Advanced degrees such as Masters or PhD are preferred Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect 5 + years of experience in Data Science, Statistics, and Machine Learning 5+ years of experience in Generative AI/LLMs, preferably experienced in delivering and productionizing 5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment 5+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 to $278,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at [email protected] . For more information about Human Capital, visit our landing page at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html #HCFY27 #IIOFY27
Posted 2 weeks
AI Engineer Senior Consultant
Deloitte - Jacksonville, FL 32202
AI Data Engineer Senior Consultant Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions. This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline. Recruiting for this role ends on 08/30/2026. Work you'll do As an AI Engineer Senior Consultant on the HC Forward team, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences. Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product needs into secure, scalable technical designs and delivered solutions (APIs, services, pipelines, containers/serverless) meeting availability, performance, and security expectations. Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including secure endpoints, tool/function calling, and reusable prompt/context patterns. Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry. Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills). A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The team HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes. Qualifications Required: Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science) 4+ years building and delivering LLM/GenAI solutions with Claude/GPT(Codex)/Gemini-class models, including prompt/context design, tool/function calling, evaluation, and production integration. 4+ years implementing RAG/retrieval (document processing, embeddings, vector/hybrid search) with enterprise governance controls. 4+ years of modern data & AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals. 4+ years building production, real-time inference services (API design, latency/performance, reliability patterns). 4+ years leading platform/integration engineering across enterprise systems; strong API/integration experience (REST, GraphQL, event-driven, microservices, middleware). 4+ years DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes, observability/monitoring). 4+ years leading security/compliance efforts; familiarity with enterprise security controls (IAM, encryption, secrets, audit logging) and data/privacy (PII, retention, access controls); SOC 2/GDPR/HIPAA exposure a plus. Ability to travel 0-25%, on average, based on client and project needs. Limited immigration sponsorship may be available Preferred: Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML). 4+ years of experience with Human Capital platforms and integrations (e.g., Workday, SAP SuccessFactors, Oracle HCM, Salesforce) and HR data domains. 4+ years of experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management). 4+ years of cloud experience on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns. 4+ years of experience with structured problem solving, translating business needs into requirements, acceptance criteria, and shippable increments. 4+ years of experience with stakeholder communication: ability to explain AI/GenAI trade-offs (quality vs. latency vs. cost vs. risk) and document decisions. 4+ years of experience collaborating across product, data science/ML, data engineering, platform, and security. 4+ years of experience with treat testing, monitoring, and operational readiness as core responsibilities. 4+ years of experience with ethics and privacy awareness being able to recognize consent/PII/bias boundaries and escalate appropriately. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $$113,100 to $208,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at [email protected] . For more information about Human Capital, visit our landing page at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html #HCFY26 #IIOFY26
Posted 2 weeks
Lead Forward Deployed Engineer, Microsoft AI & Data
Deloitte - Jacksonville, FL 32202
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on 10/30/2026 Work you'll do As a Lead Microsoft AI&Data FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You'll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximize speed and scale. Client Engagement Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping. Cross-Functional Pod Leadership & Program Governance Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience. Mentor and develop junior FDEs GenAI Solution Development Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below) Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability. Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards. Engineering & Data Foundations Review and contribute to production-quality code Guide architecture of data pipelines powering GenAI use cases Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud) The team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Required qualifications Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 1+ years of experience with Microsoft AI&Data including hands on experience with Azure AI Foundry 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions 1+ years of experience building reliable, maintainable, and well-documented code Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve Limited immigration sponsorship may be available Preferred qualifications Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures Experience operating within hybrid onshore/offshore teams Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $189,200 to $372,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Posted 2 weeks
Forward Deployed Engineer, Microsoft AI & Data
Deloitte - Jacksonville, FL 32202
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on 10/30/2026. Work you'll do As a Microsoft AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: Client Engagement Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. Partner with leaders, product owners, architects, and engineers to align priorities and delivery. Lead working sessions to shape solutions and drive client outcomes. Prototype and deliver working AI solutions using industry expertise and emerging capabilities. Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms. Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls. Apply architecture decisions that balance quality, safety, latency, cost, and model risk. Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation. Design extensible functionality, support sprint sizing, and align solutions with senior team members. Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations. The team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Required qualifications Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 1+ years of experience with Microsoft AI&Data including hands on experience with Azure AI Foundry. 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions 1+ years of experience building reliable, maintainable, and well-documented code Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve Limited immigration sponsorship may be available Preferred qualifications Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures Experience operating within hybrid onshore/offshore teams Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Posted 2 weeks
Senior Forward Deployed Engineer, Frontier GenAI
Deloitte - Jacksonville, FL 32202
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on 10/30/2026. Work you'll do As a Senior Microsoft AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: Client Engagement Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. Partner with leaders, product owners, architects, and engineers to align priorities and delivery. Lead working sessions to shape solutions and drive client outcomes. Prototype and deliver working AI solutions using industry expertise and emerging capabilities. Contribute independently within an FDE pod while mentoring newer team members. Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success. Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer. Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital. Solution Engineering Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms. Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls. Apply architecture decisions that balance quality, safety, latency, cost, and model risk. Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation. Design extensible functionality, support sprint sizing, and align solutions with senior team members. Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations. The team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Required qualifications Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 1+ years of experience with Microsoft AI&Data including hands on experience with Azure AI Foundry. 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions 1+ years of experience building reliable, maintainable, and well-documented code Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve Limited immigration sponsorship may be available Preferred qualifications Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures Experience operating within hybrid onshore/offshore teams Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Posted 2 weeks
Lead Forward Deployed Engineer, Frontier GenAI
Deloitte - Jacksonville, FL 32202
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on 10/30/2026. Work you'll do As a Lead Frontier GenAI FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You'll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximize speed and scale. Client Engagement Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping. Cross-Functional Pod Leadership & Program Governance Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience. Mentor and develop junior FDEs GenAI Solution Development Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below) Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability. Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards. Engineering & Data Foundations Review and contribute to production-quality code Guide architecture of data pipelines powering GenAI use cases Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud) The team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Required qualifications Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 1+ years of experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions 1+ years of experience building reliable, maintainable, and well-documented code Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve Limited immigration sponsorship may be available Preferred qualifications Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures Experience operating within hybrid onshore/offshore teams Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $189,200 to $372,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Posted 2 weeks
Senior Forward Deployed Engineer, Microsoft AI&Data
Deloitte - Jacksonville, FL 32202
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on 10/30/2026. Work you'll do As a Senior Microsoft AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: Client Engagement Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. Partner with leaders, product owners, architects, and engineers to align priorities and delivery. Lead working sessions to shape solutions and drive client outcomes. Prototype and deliver working AI solutions using industry expertise and emerging capabilities. Contribute independently within an FDE pod while mentoring newer team members. Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success. Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer. Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital. Solution Engineering Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms. Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls. Apply architecture decisions that balance quality, safety, latency, cost, and model risk. Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation. Design extensible functionality, support sprint sizing, and align solutions with senior team members. Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations. The team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Required qualifications Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 1+ years of experience with Microsoft AI&Data including hands on experience with Azure AI Foundry. 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions 1+ years of experience building reliable, maintainable, and well-documented code Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve Limited immigration sponsorship may be available Preferred qualifications Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures Experience operating within hybrid onshore/offshore teams Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Posted 2 weeks
Senior Forward Deployed Engineer, Frontier GenAI
Deloitte - Jacksonville, FL 32202
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on 10/30/2026. Work you'll do As a Senior Frontier GenAI FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: Client Engagement Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. Partner with leaders, product owners, architects, and engineers to align priorities and delivery. Lead working sessions to shape solutions and drive client outcomes. Prototype and deliver working AI solutions using industry expertise and emerging capabilities. Contribute independently within an FDE pod while mentoring newer team members. Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success. Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer. Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital. Solution Engineering Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms. Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls. Apply architecture decisions that balance quality, safety, latency, cost, and model risk. Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation. Design extensible functionality, support sprint sizing, and align solutions with senior team members. Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations. The team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Required qualifications Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 1+ years of experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions 1+ years of experience building reliable, maintainable, and well-documented code Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve Limited immigration sponsorship may be available Preferred qualifications Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures Experience operating within hybrid onshore/offshore teams Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.