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# Agentic Capability AI and Data Science Engineer

- **Company:** Deloitte T.T.L.
- **Location:** Dayton, OH, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, System Configuration, Continuous Integration, Software Engineering, Systems Integration, Prompt Engineering, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Machine Learning Operations, Terraform, Network Server, Automation Anywhere, Devsecops
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/agentic-capability-ai-and-data-science-engineer-dayton-oh-usa-58885375

## About the Role

testing for enterprise reuse * 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 building, deploying, or integrating 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 * Legal authorization to work in the United States without sponsorship * Ability to obtain required security clearance Key requirements *

## Description

Experteer Overview As an Agentic Capability Engineer, you design and maintain the agentic infrastructure powering AI-driven delivery at scale. You collaborate with cross-functional teams to build reusable AI agents, patterns, and tools that improve delivery outcomes for clients. You will stand up MCP servers, testing frameworks, and CI/CD-driven workflows to enable reliable AI operations. This role blends platform engineering with AI capability development to drive impactful, scalable solutions for government and public sector clients. Compensation / Benefits * Design agent system architectures and implement DevSecOps for AI workflows * Build and maintain AI agents, agent systems, and reusable skills/workflows * Develop and govern prompt and context engineering patterns for high-quality outputs * Stand up MCP servers, CLI tools, and agent testing frameworks * Deliver platform configuration and integrations (CI/CD, repositories, environments, guardrails) * Standardize orchestration components for enterprise reuse * 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 building, deploying, or integrating 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 * Legal authorization to work in the United States without sponsorship * Ability to obtain required security clearance Key requirements *


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