Deloitte
Consulting · Consulting + audit
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 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 |
|---|---|---|
| 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 |
| 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 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 |