Currently tracking 97 active AI roles, down 50% 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.
Deloitte currently has 131 active AI-related roles in our index. The most common open titles are: Finance Analytics & AI Manager (4), Finance Analytics & AI Senior Consultant (4), AI Engineer Consultant (2), Agentic Software Engineer III (2), Forward Deployed Engineer- AWS (2). Most positions are in Engineering and Product.
Deloitte's active AI hiring is concentrated in: agents (67%), application (12%), 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 153 new AI-related roles. That is a +248% change versus the prior 30 days (44 → 153).
| Title | Stage | AI score |
|---|---|---|
| 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 |
| GenAI Data Scientist This role focuses on developing and architecting Generative AI solutions, evaluating and selecting AI tools, building and training models using Python and open-source technologies, and designing generative models with various architectures. The role also involves training users on AI principles and model interaction, and building ML-enabled features for client business processes. | Post-trainAgent | 8 |
| GenAI Data Scientist This role focuses on developing and architecting Generative AI solutions, evaluating and selecting AI tools, building and training models using Python and open-source technologies, and designing generative models with various architectures. The role also involves training users on AI principles and model interaction, and building ML-enabled features for client business processes. | Post-trainAgent | 8 |
| 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 |
| Data Scientist Engineer – SFL Scientific Deloitte is seeking a Data Scientist Engineer to join their SFL Scientific team. This role involves collaborating with clients to design and develop novel AI/ML projects and solutions, focusing on areas like cancer detection, drug discovery, autonomous systems, and agentic solutions. Responsibilities include defining data strategy, building and validating models, deploying them into production, and researching novel machine learning approaches. | Post-trainAgent | 7 |
| Data Science Consultant Data Science Consultant role focused on building and supporting marketing data science solutions for clients, involving end-to-end data problem solving, from understanding business goals to translating them into ML use cases, model design, exploratory data analysis, feature transformation, model interpretation, and proof of concept development. The role also involves working with data engineering teams and clients to ensure solutions perform as expected. | Post-train | 7 |
| Senior Data Scientist TS/SCI with Poly Required Senior Data Scientist role in Deloitte's AI & Engineering team supporting a government client. Requires expertise in Python, Palantir Foundry, and advanced machine learning techniques to develop data pipelines, extract insights, and build/optimize AI/ML solutions. The role involves collaboration with mission operations teams and client stakeholders, with a strong emphasis on communication and responding to high-priority analytic requests in a national security context. Active TS/SCI clearance with Polygraph is mandatory. | Post-train | 7 |
| Senior Manager - Forensic Analytics-Anti-Money Laundering Senior Manager role in Forensic Analytics focusing on Anti-Money Laundering (AML) and financial crime. The role involves leading teams to design and deliver data-driven solutions using advanced analytics, machine learning, and GenAI techniques for regulatory compliance. Key responsibilities include shaping project strategy, client relationship management, and business development within the fintech domain. | Post-train | 7 |