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# Agentic Capability AI and Data Science Engineer

- **Company:** Deloitte T.T.L.
- **Location:** Raleigh, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, System Configuration, Software Engineering, Systems Architecture, Systems Integration, Prompt Engineering, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Machine Learning Operations, Terraform, Automation Anywhere, Devsecops
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/agentic-capability-ai-and-data-science-engineer-raleigh-nc-usa-58885381

## About the Role

is * Deliver platform configuration and integrations (CI/CD pipelines, repositories, environments, guardrails) * Standardize orchestration components, templates, harnesses, and observability 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's degree in Computer Science, Data Science or Engineering * 7+ years of software engineering experience with platform or infrastructure impact * 5+ years of hands-on experience with AI/ML systems in production * 5+ years of cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years of experience with prompt engineering and context optimization * 2+ years of experience designing reusable tools, frameworks, or developer productivity infrastructure * Ability to travel 50% as required * Authorized to work in the United States without sponsorship and able to obtain necessary clearance
Key requirements * broad range of benefits

## Description

Experteer Overview As an Agentic Capability Engineer, you will design, build, and maintain the agentic infrastructure that powers AI-driven delivery at scale. You work within Deloitte's AI & Engineering team to reimagine operations for clients, enabling rapid digital ventures and growth. You'll craft reusable patterns, implement DevSecOps for AI workflows, and stand up MCP servers and testing frameworks. The role blends platform engineering with hands-on delivery, offering meaningful impact across government and public services projects. This is a high-impact, cross-functional, hands-on engineering role focused on scalable AI capabilities. Compensation / Benefits * Design agent system architecture and implement DevSecOps practices for AI workflows * Build and maintain AI agents, agent systems, and reusable skills/workflows for delivery teams * Develop and govern 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, templates, harnesses, and observability 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's degree in Computer Science, Data Science or Engineering * 7+ years of software engineering experience with platform or infrastructure impact * 5+ years of hands-on experience with AI/ML systems in production * 5+ years of cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years of experience with prompt engineering and context optimization * 2+ years of experience designing reusable tools, frameworks, or developer productivity infrastructure * Ability to travel 50% as required * Authorized to work in the United States without sponsorship and able to obtain necessary clearance Key requirements * broad range of benefits


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