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# Agentic Capability AI and Data Science Engineer

- **Company:** Deloitte T.T.L.
- **Location:** Richmond, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Engineering, Systems Architecture, Systems Integration, Prompt Engineering, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Machine Learning Operations, Virtual Agents, Terraform, Automation Anywhere, Devsecops
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/agentic-capability-ai-and-data-science-engineer-richmond-va-usa-58885380

## About the Role

and reuse (templates, harnesses, observability) * Improve reliability, performance, and maintainability of agent delivery capabilities * Provide technical guidance to ADEs and AEMs on agentic infrastructure usage Tasks * Bachelor in Computer Science, Data Science or Engineering * 7+ years of software engineering with platform or infrastructure impact * 5+ years hands-on AI/ML systems in production * 5+ years cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years prompt engineering and context optimization with measurable quality improvements * 2+ years designing reusable tools, frameworks, or developer productivity infra * Ability to travel 50% on average * Must be legally authorized to work in the United States without sponsorship * Must obtain and maintain required security clearance Key requirements *

## Description

Experteer Overview In this role you design, build, and maintain agentic infrastructure enabling AI-driven delivery at scale. You collaborate with cross-functional teams to reimagine operations and drive impacts for clients, from improving financial performance to enabling new digital ventures. You'll shape AI agent systems, reusable skills, and platform integrations to deliver reliable, high-quality outcomes. This position offers the chance to influence how AI workflows are secured, tested, and deployed across enterprise environments. Compensation / Benefits * Design agent system architectures and implement DevSecOps for AI workflows * Build and maintain AI agents, agent systems, and reusable skills/workflows * Develop prompt and context engineering patterns for consistent outputs * Set up MCP servers, CLI tools, and agent testing frameworks * Deliver platform configurations and integrations (CI/CD pipelines, environments, guardrails) * Standardize orchestration components for enterprise reuse (templates, harnesses, observability) * Improve reliability, performance, and maintainability of agent delivery capabilities * Provide technical guidance to ADEs and AEMs on agentic infrastructure usage Tasks * Bachelor in Computer Science, Data Science or Engineering * 7+ years of software engineering with platform or infrastructure impact * 5+ years hands-on AI/ML systems in production * 5+ years cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years prompt engineering and context optimization with measurable quality improvements * 2+ years designing reusable tools, frameworks, or developer productivity infra * Ability to travel 50% on average * Must be legally authorized to work in the United States without sponsorship * Must obtain and maintain required security clearance Key requirements *


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