Deloitte
Consulting · Consulting + audit
Currently tracking 97 active AI roles, down 97% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $73k–$293k (avg $165k).
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.
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 mention: LLM Evaluation & Grading, GCP, AWS, Azure, Model Monitoring.
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 |
|---|---|---|
| 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 |
| Technical Architect The Technical Architect will architect and implement data solutions for AI for Employee Experience, focusing on LLM-based solutions and RAG architecture. This role is part of the AI & Engineering team at Deloitte, which builds and deploys integrated sector solutions. | 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 |
| AI Engineer Consultant AI Engineer Consultant role focused on building and operating the data, features, and GenAI foundations for Human Capital AI products. This involves designing, building, and running the data/feature/retrieval layer, operationalizing LLM-enabled capabilities (e.g., copilots, HR knowledge assistants) using RAG and other patterns, and delivering governed datasets and feature engineering for ML training and real-time inference. | AgentServe | 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 |
| AI and Data Science Engineer (TS/SCI Poly) AI and Data Science Engineer role focused on designing, developing, and deploying AI/ML solutions for government and public sector clients. This involves building data pipelines, models, and analytical products, translating business needs into technical solutions, and collaborating with cross-functional teams. The role emphasizes production-ready solutions and supporting client priorities. | ShipServe | 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 |
| NVTI | Forward Depoyed Engineer Lead - Zora AI Lead the global Forward Deployed Engineering (FDE) organization for Deloitte's AI agent platform (Zora AI), defining its charter, operating model, standards, and capacity for successful, scaled deployments. This role involves leading global FDE teams, overseeing client engagements, and collaborating with Product, Engineering, Cyber, and Risk to translate field learnings into platform improvements. Key responsibilities include establishing playbooks, quality gates, and best practices for agent deployments in enterprise contexts, while also managing governance, metrics, and risk/security/compliance. | 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 Data Scientist and AI Specialist Senior Data Scientist and AI Specialist role focused on designing, building, and deploying production-grade AI/ML systems, including NLP, RAG, forecasting, and advanced analytics. The role involves fine-tuning and operationalizing LLMs and RAG pipelines, establishing MLOps on Azure, and developing data models for AI/ML integration, particularly within regulated health & human services environments. | AgentPost-train | 7 |
| Cyber Full-Stack Developer/Senior Consultant Deloitte Cyber is seeking a Cyber Full-Stack Developer/Senior Consultant to build and deploy AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on cloud platforms. The role involves full-stack development, API integration, database management, and cloud deployment, with a focus on cybersecurity applications. | Agent | 7 |
| Python Developer Develop and orchestrate LLM workflows using Python, LangChain, and LangGraph, including RAG pipelines, multi-agent systems, and memory management. Focus on production deployment and operational ownership. | Agent | 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 |
| AI Datacenter Associate VP Associate VP role focused on engineering and strategy for AI datacenters and infrastructure, including GPU platforms, containerized AI workloads, and hybrid cloud solutions. The role involves leading transformations, shaping client solutions, overseeing project teams, growing the practice, and advancing thought leadership in AI infrastructure. | Serve | 7 |
| AI Datacenter & Integrated Infrastructure Engineer III This role focuses on designing, implementing, and optimizing AI-driven datacenter solutions and hybrid infrastructure to support AI workloads. The engineer will lead project delivery, advise clients on AI infrastructure best practices, and collaborate with data scientists and cloud architects. The role requires experience in architecting and implementing enterprise-scale hybrid infrastructure, including GPU platforms, infrastructure as code, and automation pipelines for GPU clusters. | Serve | 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 |
| Lead Forward Deployed Engineer, Snowflake Lead Forward Deployed Engineers (FDE) at Deloitte to help clients turn AI ambition into enterprise-scale impact by developing and deploying GenAI solutions into production. This role involves setting technical direction, leading engineering pods, architecting LLM-enabled applications (copilots, agentic workflows, assistants, knowledge search), governing RAG pipelines, defining evaluation frameworks, and ensuring production-quality code and data foundations within cloud environments. | Agent | 7 |
| Senior Forward Deployed Engineer, Snowflake Senior Forward Deployed Engineer at Deloitte focused on building and deploying GenAI-enabled solutions for enterprise clients, leveraging Snowflake's AI capabilities. The role involves client engagement, solution engineering, and rapid prototyping of AI-powered applications and agentic platforms. | Agent | 7 |
| Forward Deployed Engineer- Snowflake This role focuses on building and deploying GenAI-enabled solutions and agentic platforms for enterprise clients, requiring strong software engineering skills and client engagement experience. The engineer will translate business needs into AI solutions, develop scalable patterns, and ensure production-quality code within client environments. | Agent | 7 |
| Lead Forward Deployed Engineer, Palantir Lead Forward Deployed Engineer at Deloitte, responsible for helping clients turn AI ambition into enterprise-scale impact by leading pods that develop and deploy GenAI solutions into production. This role involves setting technical direction, hands-on system design, debugging, client-facing advisory, and managing engineering pods. Key responsibilities include architecting LLM-enabled applications, governing RAG pipelines, defining evaluation frameworks, and ensuring production-quality code and data pipelines. | AgentServe | 7 |
| Senior Forward Deployed Engineer, Palantir Senior Forward Deployed Engineer at Deloitte focused on building and deploying GenAI-enabled solutions for enterprise clients. The role involves translating business needs into AI use cases, developing agentic platforms and workflows, and ensuring production-quality code with strong engineering practices. Requires experience with Palantir platforms and client-facing delivery. | Agent | 7 |
| Forward Deployed Engineer- Palantir Deloitte is seeking a Forward Deployed Engineer to help clients turn AI ambition into enterprise-scale impact by building and deploying GenAI-enabled solutions, agentic platforms, and workflows. The role involves client engagement, solution engineering, and delivering production-quality code with a focus on scalability, safety, and performance. | AgentServe | 7 |
| AI Data Engineer Manager AI Data Engineer Manager responsible for leading data architecture and engineering for AI/ML/GenAI solutions, including RAG, embeddings, and vector search. The role involves managing a team, translating use cases into production pipelines, and ensuring data governance, quality, and monitoring. It also includes defining technical direction, designing end-to-end AI architectures, selecting technologies, and contributing to MLOps/LLMOps. | DataAgent | 7 |
| Associate Forward Deployed Engineer- Palantir Associate Forward Deployed Engineer at Deloitte focused on building and deploying GenAI-enabled solutions for enterprise clients, translating business needs into AI-powered applications and agentic platforms. | Agent | 7 |
| AI Engineering Manager – SFL Scientific AI Engineering Manager role focused on designing, developing, and deploying AI applications for clients across various sectors. The role involves leading client engagements, designing architectures for AI and R&D problems, developing infrastructure, and working with cross-functional teams to build AI platforms and cloud solutions. Emphasis on modern data architecture, MLOps, and scalable solutions. | ServeAgent | 7 |
| Data Scientist -Project Delivery Senior Analyst – AI & Engineering Data Scientist role focused on analyzing, cleansing, and modeling complex data to help organizations make better decisions and predict future trends. Responsibilities include feature engineering, model development, validation, and deployment, with an understanding of MLOps pipelines and cloud ML services. The role involves translating business problems into analytical solutions and communicating insights to non-technical stakeholders. | ServePost-train | 7 |
| Physical and Spatial AI Architect Architect for Physical and Spatial AI solutions, focusing on digital twins, spatial intelligence, and OT modernization for clients in industrial and operational technology environments. The role involves advising clients, translating business needs into technical strategies, architecting solutions, and implementing AI capabilities into operational workflows, with a strong emphasis on NVIDIA and Google Cloud Platform ecosystems. | Agent | 7 |