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# Agentic Capability AI and Data Science Engineer

- **Company:** Deloitte T.T.L.
- **Location:** Columbus, OH, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, System Configuration, Continuous Integration, 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-columbus-oh-usa-58885382

## About the Role

sector repositories, 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 use Tasks * Bachelor in Computer Science, Data Science or Engineering * 7+ years of software engineering with platform/infrastructure impact * 5+ years building/deploying AI/ML systems in production * 5+ years of cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years experience with prompt engineering and context optimization * 2+ years designing reusable tools/frameworks or developer productivity infra * Ability to travel 50% * Authorized to work in the United States without sponsorship * Ability to obtain required clearance Key requirements *

## Description

Experteer Overview As an Agentic Capability Engineer, you design, build, and maintain the agentic infrastructure powering AI-driven delivery at scale. You'll contribute to AI agent systems, prompt/context engineering, and MCP server development within a platform-focused team. You will implement DevSecOps for AI workflows and deliver reusable tools and frameworks for enterprise teams. This is a chance to shape scalable, secure AI delivery capabilities for government and public sector clients. You will work cross-functionally to improve reliability, performance, and maintainability while guiding others. Compensation / Benefits * Design and implement agent system architecture and DevSecOps practices for AI workflows * Build and maintain AI agents, agent systems, and reusable skills/workflows * Develop prompt and context engineering patterns for consistent outputs * Stand up MCP servers, CLI tools, and agent testing frameworks * Deliver platform configuration and integrations (CI/CD pipelines, repositories, 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 use Tasks * Bachelor in Computer Science, Data Science or Engineering * 7+ years of software engineering with platform/infrastructure impact * 5+ years building/deploying AI/ML systems in production * 5+ years of cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years experience with prompt engineering and context optimization * 2+ years designing reusable tools/frameworks or developer productivity infra * Ability to travel 50% * Authorized to work in the United States without sponsorship * Ability to obtain required clearance Key requirements *


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