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 |
|---|---|---|
| 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 |
| Data Analytics Senior Consultant - Data Lake This role focuses on building and modernizing cyber data and analytics programs, leveraging AI and ML for cyber defense and operations. It involves working with cyber security cloud platforms, data platforms, and AI development tools like vector databases and frameworks. The role requires experience in statistical analysis, machine learning, data mining, and preparing data for analysis using languages like Python and SQL, with a focus on cyber specific use cases. | Data |
| 7 |
| AI Data Engineer - Manager AI Data Engineer - Manager role focused on leading data architecture and engineering for AI/ML/GenAI solutions. Designs and operationalizes data foundations for LLM-powered applications, including RAG and vector search. Manages delivery teams, partners with stakeholders, and ensures data governance, quality, and monitoring. Blends technical leadership with delivery management and team development, driving engineering standards and outcomes in client environments. Contributes to AI/ML/GenAI technical direction, architectural design, technology selection, and MLOps/LLMOps. Conducts research for scalable AI solutions, leads development of AI models, and collaborates with various teams. Serves as a technical advisor, ensures operational excellence, and addresses risks and ethical considerations in AI implementation. | DataAgent | 7 |
| AI/ML Engineer (TS/SCI Poly) AI/ML Engineer role focused on developing and maintaining data pipelines, applying machine learning techniques, and building/optimizing AI/ML solutions for client missions, requiring a TS/SCI Polygraph clearance. | Data | 7 |