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# Agentic Capability AI and Data Science Engineer

- **Company:** Deloitte T.T.L.
- **Location:** Houston, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Continuous Integration, Software Engineering, Systems Architecture, Systems Integration, Delivery Pipeline, 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-houston-tx-usa-58885379

## About the Role

2026-08-10, performance, and maintainability of agent delivery capabilities * Provide technical guidance to ADEs and AEMs on agentic infrastructure Tasks * Bachelor in Computer Science, Data Science or Engineering * 7+ years of software engineering with platform or infrastructure impact * 5+ years building/deploying/integrating AI/ML systems in production * 5+ years of cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years of prompt engineering and context optimization with measurable quality improvements * 2+ years designing reusable tools or developer productivity infrastructure * Ability to travel ~50% * Legal authorization to work in the United States without sponsorship Key requirements *

## Description

Experteer Overview In this role, you design, build, and maintain agentic infrastructure that powers AI-driven delivery at scale within Deloitte's AI & Engineering team. You'll shape agent systems, prompt and context engineering patterns, and reusable tooling that support cross-functional delivery teams. The position focuses on reliable, scalable platform delivery, security-conscious DevSecOps for AI workflows, and governance of AI components. This is an opportunity to impact client outcomes through advanced AI platform capabilities. Compensation / Benefits * Design and implement agent system architectures * Develop and manage agented workflows, reusable skills, and delivery pipelines * Create and govern prompt and context engineering patterns for consistent outputs * Stand up MCP servers, CLI tools, and agent testing frameworks * Deliver platform configurations and integrations (CI/CD, 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 Tasks * Bachelor in Computer Science, Data Science or Engineering * 7+ years of software engineering with platform or infrastructure impact * 5+ years building/deploying/integrating AI/ML systems in production * 5+ years of cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years of prompt engineering and context optimization with measurable quality improvements * 2+ years designing reusable tools or developer productivity infrastructure * Ability to travel ~50% * Legal authorization to work in the United States without sponsorship Key requirements *


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