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).
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 |
|---|---|---|
| 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 |
| AI Senior Manager – SFL Scientific Senior Manager role at Deloitte's SFL Scientific, focusing on defining and executing strategy for AI, ML, and GenAI services for clients. Responsibilities include client engagement, identifying opportunities, leading interdisciplinary teams, and driving the vision, design, and deployment of generative AI solutions. | Ship | 7 |