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 |
|---|---|---|
| Generative AI Data Engineer III Generative AI Data Engineer III at Deloitte, focusing on designing, building, testing, and deploying ML/AI solutions. Responsibilities include developing data pipelines, model training workflows, and production components, analyzing data for insights, and monitoring model performance. Requires experience with Python, Pyspark, Pytorch, Tensorflow, and AI technologies like Gemini, Anthropic, and OpenAI. | ServePost-train | 8 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior AI Engineer – SFL Scientific Senior AI Engineer at Deloitte's SFL Scientific, focusing on developing robust AI infrastructure and deployment services for machine learning applications. The role involves designing and leading the development of scalable data architecture solutions for AI/GenAI use cases, leveraging cloud and on-prem technologies. Responsibilities include data engineering, architecture design, deployment, and mentoring junior engineers, with applications in areas like cancer detection, drug discovery, and autonomous systems. | ServeAgent | 7 |
| Databricks Data Engineering Manager Lead Data Engineer II role focused on delivering data and AI programs using the Databricks Platform, managing teams, building client relationships, and driving strategic direction in data engineering, BI, and AI/ML. Responsibilities include program leadership, client relationship management, team development, strategic solution design, and technical oversight with a focus on Databricks features like Unity Catalog, MLOps, Agent Bricks, Model Serving, and Genie. | ServeData | 5 |
| Delivery Management Engineer II Delivery Management Engineer II role focused on AI & Engineering, involving product/service lifecycle management, CI/CD pipeline design, technical project management, and containerization/orchestration for AI, GenAI, and Cloud platform programs. | Serve | 5 |
| Lead Business Transformation Architect This role focuses on translating business needs into AI/ML roadmaps and designing scalable cloud architectures for AI solutions. It involves leading the deployment and integration of AI models and applications on cloud platforms, managing the necessary cloud infrastructure, and overseeing security, compliance, cost, and performance aspects. The role requires experience with AI/ML concepts, cloud platforms, and technology architecture, with a focus on deploying AI solutions in cloud environments. | Serve | 5 |
| Reliability & Maintenance Digital Transformation Senior Manager Architect - Downstream/Chemicals Senior Manager Architect role focused on digital transformation in reliability and maintenance for the downstream/chemicals industry. The role involves architecting solutions using IoT, AI, and digital twins to improve equipment reliability, assess and define future-state maintenance processes, and integrate these technologies into existing IT environments. Collaboration with clients and sales teams is key, as is delivering complex projects and contributing to practice innovation. | Serve | 5 |
| Cloud Security Manager – Azure Infrastructure & AI This role focuses on leading Microsoft security teams for large client engagements involving Microsoft Azure and AI security services. It involves designing and implementing security controls for Azure AI Services, developing AI security playbooks, and building secure MLOps pipelines using tools like Azure Policy and Terraform. The role also includes business development and client relationship management within the Microsoft Azure and AI security space. | Serve | 5 |