Deloitte currently has 140 active AI-related job listings. The majority of these roles, 76%, are focused on the agents stage. The top function for hiring is Engineering, with 135 listings. Frequent tech tags include agent orchestration, model serving, and LLM observability, suggesting a focus on deploying and managing AI systems. In the last 30 days, Deloitte posted 57 new AI roles.
Currently tracking 97 active AI roles, down 97% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $73k–$293k (avg $165k).
Consulting · Consulting + audit
Deloitte currently has 137 active AI-related roles in our index. The most common open titles are: Finance Analytics & AI Manager (4), Finance Analytics & AI Senior Consultant (4), Agentic Software Engineer III (2), Delivery Senior Consultant, Data Engineering and Gen AI (2), Forward Deployed Engineer- AWS (2). Most positions are in Engineering and Product.
Deloitte's active AI hiring is concentrated in: agents (64%), application (15%), serving infrastructure (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at Deloitte most frequently reference: agent orchestration, model serving, llm observability, rag, guardrails.
In the past 30 days, Deloitte has posted 43 new AI-related roles. That is a -73% change versus the prior 30 days (157 → 43).
| Title | Stage | AI score |
|---|---|---|
| Research Engineer — Post-Training & Small Language Models (SLMs), Healthcare AI Deloitte is building an AI-first effort to rebuild the healthcare system's decision-making machinery using reasoning models and agentic systems. This role focuses on the post-training lifecycle of clinical reasoning models, including data and reward design, training, evaluation, and alignment, with a commitment to large-scale GPU compute and training infrastructure. The goal is to create faster, fairer, and less wasteful healthcare. | Post-trainServe | 9 |
| Research Engineer — Post-Training & Small Language Models (SLMs), Healthcare AI Deloitte is building an AI-first effort to rebuild the healthcare system's decision-making machinery using reasoning models and agentic systems. This role focuses on the post-training lifecycle of clinical reasoning models, including data and reward design, training, evaluation, and alignment, with a commitment to large-scale GPU compute and training infrastructure. The goal is to create faster, fairer, and less wasteful healthcare. | Post-trainServe | 9 |
| Agentic AI Engineer — Healthcare AI Deloitte is building agentic AI systems for the healthcare industry, focusing on reasoning, orchestration, retrieval, memory, and control layers for complex decisions like clinical reasoning and prior authorization. The role involves designing, building, and operationalizing these LLM- and SLM-powered systems end-to-end, with a strong emphasis on reliability, grounding, evaluation, and safety in a regulated environment. | Agent | 9 |
| Google AI Lead Architect Lead architect role focused on designing, building, and deploying enterprise AI platforms and applications on Google Cloud, specifically leveraging Vertex AI and Gemini. The role involves architecting AI solutions, fine-tuning LLMs, building RAG and agentic systems, defining end-to-end architectures including data pipelines and MLOps, leading cloud-native development, and implementing security and governance for AI/ML systems. | AgentServe | 9 |
| Generative AI Data Engineer III Generative AI Data Engineer III at Deloitte, focusing on designing, building, testing, and deploying ML/AI solutions. Responsibilities include developing data pipelines, model training workflows, and production components, analyzing data for insights, and monitoring model performance. Requires experience with Python, Pyspark, Pytorch, Tensorflow, and AI technologies like Gemini, Anthropic, and OpenAI. | ServePost-train | 8 |
| Manager - GenAI Full Stack Developer Manager role leading teams to deliver end-to-end Generative AI (GenAI) solutions, including RAG and agentic AI, from strategy to adoption. Responsibilities include client discovery, solution design, architecting agentic AI systems, RAG implementation, GenAI model build (training, fine-tuning, validation), deployment, and production operations. Also involves leading development pods and evaluating new frameworks. | AgentServe | 8 |
| Senior Forward Deployed Engineer- AWS Senior Forward Deployed Engineer for AWS at Deloitte, focusing on building and deploying GenAI solutions for enterprise clients. This role involves client engagement, solution engineering, and delivering production-quality AI-enabled systems, agentic platforms, and workflows on AWS. | AgentServe | 8 |
| Forward Deployed Engineer- AWS Forward Deployed Engineer (FDE) focused on building and deploying GenAI-enabled solutions for enterprise clients using Databricks on AWS. The role involves translating business needs into AI use cases, developing agentic platforms and workflows, and ensuring solutions are scalable, safe, and cost-effective. | Agent | 8 |
| Senior Data Scientist – SFL Scientific Senior Data Scientist at Deloitte's SFL Scientific practice, focusing on designing and developing novel AI/ML solutions for clients. Responsibilities include defining data strategy, exploratory analysis, building and validating models, deploying them into production, and leading client initiatives. The role involves working on cutting-edge areas like cancer detection, drug discovery, autonomous systems, and agentic solutions. | Post-trainServe | 8 |
| Lead Forward Deployed Engineer, Microsoft AI & Data Lead Forward Deployed Engineer for Microsoft AI & Data at Deloitte, focusing on building and deploying GenAI solutions for enterprise clients. This role involves technical leadership, client-facing advisory, pod management, and hands-on development of LLM-enabled applications, including agentic workflows and RAG pipelines. The engineer will set technical direction, ensure production-grade quality, and manage delivery from prototype to scaling. | AgentServe | 8 |
| Lead Palantir Forward Deployed Engineer - GPS Lead Palantir Forward Deployed Engineer focused on building and deploying GenAI solutions, including LLM-enabled applications, agentic workflows, and knowledge search experiences, using enterprise AI platforms. The role involves architecting RAG pipelines, defining evaluation frameworks, and leading engineering pods to deliver production-grade AI solutions for clients. | AgentServe | 8 |
| Lead Forward Deployed Engineer, Frontier GenAI Lead Forward Deployed Engineer for GenAI solutions at Deloitte, focusing on enterprise-scale impact. This role involves leading engineering pods to develop and deploy GenAI solutions into production for strategic clients, setting technical direction, and ensuring delivery standards. Responsibilities include architecting LLM-enabled applications, governing RAG pipelines, defining evaluation frameworks, and overseeing data pipelines and cloud environments. | AgentServe | 8 |
| Forward Deployed Engineer, Frontier GenAI Forward Deployed Engineer focused on building and deploying GenAI-enabled solutions for enterprise clients, translating business needs into AI-powered applications and agentic platforms. Requires strong software engineering skills, experience with major GenAI platforms, and client-facing delivery. | Agent | 8 |
| Lead Databricks Forward Deployed Engineer - GPS Lead Databricks Forward Deployed Engineer for Government & Public Services (GPS) clients, focusing on developing and deploying GenAI solutions. This role involves client-facing leadership, technical direction, and hands-on system design for LLM-enabled applications, RAG pipelines, and agentic workflows. Responsibilities include pod leadership, ensuring production-grade quality, and defining evaluation frameworks. | AgentServe | 8 |
| Lead Anthropic Forward Deployed Engineer - GPS Lead engineer responsible for deploying GenAI solutions, architecting LLM applications, governing RAG pipelines, and defining evaluation frameworks for enterprise clients. Focuses on production-grade quality, scalability, and client-facing technical leadership. | Agent | 8 |
| Senior OpenAI Forward Deployed Engineer - GPS Senior OpenAI Forward Deployed Engineer for Deloitte's Government & Public Services practice, focusing on building and deploying GenAI solutions for clients. The role involves client engagement, solution engineering, and mentoring, with a requirement for hands-on experience with OpenAI technologies and software engineering best practices. | Agent | 8 |
| Senior Anthropic Forward Deployed Engineer - GPS Senior Forward Deployed Engineer for Deloitte's Government & Public Services practice, focusing on building and deploying GenAI solutions for clients. This role involves client engagement, solution engineering, and prototyping AI-enabled applications, agentic platforms, and workflows. Requires strong software engineering skills, experience with Anthropic's Claude, and the ability to translate business needs into AI solutions. | Agent | 8 |
| AI Engineer Consultant AI Engineer Consultant role focused on building and operating data, features, and GenAI foundations for Human Capital AI products. Responsibilities include designing and deploying AI solutions, building LLM-enabled products, implementing RAG patterns, delivering governed data and features for ML/GenAI, and driving engineering excellence with a focus on trust, safety, governance, and cost optimization. | AgentServe | 8 |
| Senior Manager - AI / Automation Architect Senior Manager role focused on architecting and leading the technical vision for a unified Finance Operate Platform, involving agentic AI, automation, and integration layers. The role requires making build-versus-buy decisions, leading client-facing conversations on delivery strategy, and evaluating emerging AI/ML technologies for finance use cases. | Agent | 7 |
| Integration Engineer II - AI and Python Developer This role focuses on building, testing, and shipping software as part of an agile engineering team, with a strong emphasis on AI and Generative AI solutions. The Integration Engineer II will work hands-on with AI/ML, Generative AI, and agentic AI, developing and prototyping use cases, evaluating foundation models, and contributing to RAG, memory systems, tool use, and multi-agent workflows. The role also involves supporting MLOps, AI Ops, and promoting responsible AI practices, with a requirement for Python and ReactJS experience, and experience in AI/ML fundamentals, LLMs, and cloud AI platforms. | AgentData | 7 |
| Lead Generative AI Data Engineer III Lead Generative AI Data Engineer III at Deloitte, responsible for designing, developing, testing, and deploying ML/AI solutions. This role involves managing AI engineering workstreams, developing data pipelines and model training workflows, and collaborating with cross-functional teams. The position requires extensive experience in ML/AI solution delivery, production deployment, and team leadership, with a focus on generative AI technologies. | ServePost-train | 7 |
| Lead Generative AI Data Engineer III Lead Generative AI Data Engineer III at Deloitte, focusing on designing, developing, testing, and deploying ML/AI solutions, managing data pipelines, model training workflows, and production components. Requires experience with Python, PySpark, PyTorch, TensorFlow, and AI technologies like Gemini, Anthropic, and OpenAI, with a focus on enterprise AI for government clients. | ServePost-train | 7 |
| Engineering Lead-Data, Analytics & AI Platform Engineering Lead for Data, Analytics & AI Platform at Deloitte, focusing on leading enterprise data and AI engineering teams, driving agentic AI engineering delivery, and owning cloud-native agentic architecture deployments with MLOps/LLMOps enablement. | AgentServe | 7 |
| Lead Technical AI Instructor and Forward-Deployed Engineer III This role focuses on teaching technical AI skills, rapid prototyping with generative AI tools, and incubating innovative AI products from concept to deployment. It involves both client-facing and internal enablement. | ShipData | 7 |
| Generative AI Engineer III Generative AI Engineer III at Deloitte focused on designing, building, testing, and deploying AI/ML solutions for client use cases. The role involves developing data pipelines, model training workflows, and production components, analyzing data for insights, and collaborating with stakeholders. It requires experience with Python, PySpark, PyTorch, TensorFlow, and deploying ML models into production, with a preference for experience in LLMs and generative AI. | ShipServe | 7 |
| Senior Microsoft Forward Deployed Engineer - GPS Senior Microsoft Forward Deployed Engineer focused on building and deploying GenAI-enabled solutions and agentic platforms for enterprise clients. The role involves translating business needs into AI solutions, developing scalable AI engineering patterns, and applying architecture decisions for quality, safety, latency, and cost. Requires hands-on experience with Azure AI, RAG, and M365 Copilot extensibility. | Agent | 7 |
| Physical AI Senior Manager Senior Manager role focused on Physical AI strategy and implementation within manufacturing and supply chain operations. Responsibilities include leading client engagements, driving proofs of concept, and overseeing end-to-end solution architecture involving robotics, computer vision, simulation, digital twins, synthetic data, and edge AI. The role requires integrating AI with real-world operational constraints and leading multi-disciplinary teams. | AgentData | 7 |
| AI Engineer – SFL Scientific AI Engineer role at Deloitte's SFL Scientific, focusing on developing and deploying AI infrastructure and services for machine learning applications. The role involves designing data architectures, supporting AI/GenAI use cases, and ensuring scalability, security, and high availability of solutions, working with clients across various industries. | ServeAgent | 7 |
| GenAI Engineer III GenAI Engineer III at Deloitte, focused on designing, building, testing, and deploying AI/ML solutions for client use cases. The role involves developing data pipelines, model training workflows, and production components, analyzing data for insights, and collaborating with cross-functional teams. It emphasizes monitoring and enhancing model performance in a consulting environment within the Government & Public Services sector. | ShipServe | 7 |
| Senior Data Scientist - Government & Public Services Senior Data Scientist role focused on leading predictive modeling efforts, improving model performance, interpreting outcomes, and mentoring a team. The role involves applying statistical and machine learning techniques to solve business problems within the Government & Public Services sector, with a preference for experience in cloud environments and LLM applications like RAG. | Agent | 7 |
| GenAI Engineer GenAI Engineer role focused on implementing RAG architectures, developing GenAI enhancements, designing model guardrails, and delivering agentic workflows. The role involves integrating sources with AI models, performing data analysis, developing APIs, and optimizing prompts for LLM applications. It requires experience with GenAI concepts and Python for data manipulation and programming. | Agent | 7 |
| Senior GenAI Engineer Senior GenAI Engineer role focused on developing and implementing GenAI solutions, including agentic workflows and RAG architectures, using cloud platforms like AWS Bedrock. The role involves evaluating foundational models, training enhancements, implementing guardrails, developing APIs, and optimizing prompts. It requires strong Python and object-oriented programming skills, experience with GenAI concepts, and a security clearance. | Agent | 7 |
| Databricks Senior Consultant Senior Consultant role focused on designing and deploying enterprise AI/ML solutions on the Databricks platform, including data pipelines, ML models, and MLOps principles. Requires client advisory and mentorship. | ServeAgent | 7 |
| Finance Analytics & AI Senior Consultant Senior Consultant role focused on designing and delivering finance transformation solutions using AI, including generative and agentic AI capabilities. Responsibilities include architecting AI solutions, analyzing requirements, developing data and AI assets with Python/SQL on cloud platforms, and contributing to client engagements. | AgentData | 7 |
| Oracle Gen AI Manager Manager role focused on architecting and delivering Generative AI solutions using Oracle Cloud Infrastructure, including agentic workflows and RAG pipelines, for enterprise clients. | Agent | 7 |
| Oracle Gen AI Manager Managerial role focused on architecting and delivering generative AI solutions for enterprise clients using Oracle Cloud Infrastructure. The role involves translating business needs into AI architectures, integrating AI capabilities like agentic workflows and RAG, and ensuring governance and security. It also includes guiding teams on prompt engineering and model selection. | AgentServe | 7 |
| Oracle AI Manager Manager role focused on architecting and delivering enterprise AI solutions using Oracle Cloud Infrastructure and associated services. The role involves leading technical teams through the full lifecycle of AI/ML solution development, from design to deployment, with a strong emphasis on integrating AI capabilities into client business and technology strategies. | ServePost-train | 7 |
| Senior Consultant, Functional Transformation This role focuses on designing and documenting agentic solution archetypes using AI and cloud technologies. The consultant will research the agentic AI market, advise engineering teams, and document solutions. It's an engineering-focused role within enterprise AI, building agentic systems. | Agent | 7 |
| Cyber Forward Deployed Engineer - Consultant Deloitte is hiring a Cyber Forward Deployed Engineer - Consultant to translate business and cybersecurity needs into technical solutions, including AI/GenAI capabilities, and deploy them for clients. The role involves solution delivery, pre-sales support, and product feedback, focusing on building and deploying GenAI/LLM-powered solutions using platforms like Anthropic, Google, or OpenAI. | Agent | 7 |
| Cyber AI Data Engineer Senior Consultant This role focuses on building data foundations and pipelines for cyber risk, compliance, and AI-enabled cyber defense. It involves designing and implementing data models, quality checks, and governance controls, as well as developing AI capabilities for GRC and security operations using agentic patterns and RAG. The role requires experience in data engineering, software development, and cloud platforms, with a strong emphasis on governance and compliance in regulated environments. | AgentData | 7 |
| Forward Deployed Engineer (FDE) Senior Consultant Senior Consultant role focused on designing, building, and deploying cybersecurity and AI-enabled solutions for clients. Requires experience in full-stack development, generative AI/LLM solutions, cloud platforms, and leading engineering teams. The role involves client delivery, technical leadership, and supporting pursuits. | Agent | 7 |
| AI and Data Science Engineer (TS/SCI Poly) AI and Data Science Engineer role focused on designing, developing, and deploying AI and data science solutions for government and public sector clients. This involves building and maintaining data pipelines, models, and analytical workflows, translating requirements into production-ready solutions, and collaborating with cross-functional teams. Requires experience with ML frameworks, cloud platforms, and data pipelines. | Serve | 7 |
| GenAI Engineer GenAI Engineer role focused on training, fine-tuning, and deploying Generative AI models on AWS, with experience in Bedrock and AWS AI Practitioner certification. | Post-trainServe | 7 |
| Senior GenAI Engineer Senior GenAI Engineer role at Deloitte focused on delivering customer and business outcomes through engineering solutions. The role involves hands-on development, deployment, and maintenance of GenAI applications, emphasizing modern software engineering practices, AI/ML/GenAI infusion, and collaboration within cross-functional teams. The focus is on building and shipping AI-powered products. | Ship | 7 |
| Manager, GenAI Engineering Manager, GenAI Engineering role at Deloitte, focusing on hands-on engineering to deliver GenAI solutions for customers and business value. Requires technical leadership, software engineering craftsmanship, and collaboration with cross-functional teams. Emphasizes outcome-driven accountability, customer-centric engineering, and incremental delivery using modern AI/ML/GenAI practices and DevSecOps. | Ship | 7 |
| Software Engineer III - Java Full Stack Developer Software Engineer III - Java Full Stack Developer for an AI-powered tutoring platform. Responsibilities include building front-end and back-end services, integrating with Amazon Bedrock for AI features like conversational tutoring and adaptive learning, implementing prompt tuning, output quality testing, hallucination reduction, guardrails, and model evaluation. Also involves supporting multimodal capabilities and production engineering. | AgentServe | 7 |
| Java Full Stack Developer-Software Engineer II This role focuses on designing, developing, and optimizing software for AI platforms and consumer devices, with a strong emphasis on performance, reliability, and scalability. The candidate will work on foundational tools and applications, collaborate with hardware and embedded systems engineers, and apply advanced profiling and optimization techniques. Experience with AI/ML frameworks and hardware-software co-design is required. | Serve | 7 |
| Java Full Stack Developer-Software Engineer II This role focuses on designing, developing, and optimizing software for AI platforms and consumer devices, with a strong emphasis on performance, reliability, and scalability. It involves integrating and automating testing, analyzing system performance, and collaborating with hardware and embedded systems engineers. The role requires proficiency in Java, C/C++, Python, and understanding of AI/ML frameworks and hardware-software co-design. | Serve | 7 |
| CCaaS x AI, Manager, Functional Transformation Manager role focused on transforming contact centers using CCaaS and Generative AI, primarily on AWS. Responsibilities include leading AI-enabled transformation workstreams, architecting and delivering GenAI solutions using patterns like prompt engineering, RAG, and agent/tool-calling, and leading delivery teams through the full lifecycle. Requires experience with cloud-based contact center solutions and AWS. | Agent | 7 |
| AI Solutions Leader This role is an AI Solutions Leader focused on the sales, design, and delivery of AI/ML solutions within the Human Capital domain. It involves architecting scalable AI/ML solutions, leading technical teams, and overseeing the execution of AI-powered products for clients, with a strong emphasis on productization and client-facing aspects. | ShipServe | 7 |