> Markdown version of [/jobs/ext/2010901-agentic-capability-ai-and-data-science-engineer](https://www.wearedevelopers.com/jobs/ext/2010901-agentic-capability-ai-and-data-science-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Agentic Capability AI and Data Science Engineer

- **Company:** Deloitte T.T.L.
- **Location:** Arlington, VA, 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-rosslyn-va-usa-58885367

## About the Role

you 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 effective use of agentic infrastructure Tasks * Bachelor's degree in Computer Science, Data Science or Engineering * 7+ years of software engineering experience with demonstrated platform or infrastructure impact * 5+ years hands-on experience building, deploying, or integrating AI/ML systems in production * 5+ years experience with cloud platforms and infrastructure automation (Terraform, Kubernetes, etc.) * 2+ years experience with prompt engineering and context optimization with measurable quality improvements * 2+ years experience designing reusable tools, frameworks, or developer productivity infrastructure * Travel ~50% based on client engagements * Must be legally authorized to work in the United States without sponsorship; must obtain required clearance Key requirements *

## Description

Experteer Overview In this role you will design, build, and maintain the agentic infrastructure powering AI-driven delivery at scale. You will work within Deloitte's AI & Engineering team to enable AI agents and systems that help clients transform operations. You'll shape reusable patterns, tooling, and platforms, driving reliability, security, and performance. This is a hands-on engineering role with cross-functional collaboration and a focus on impactful, scalable AI workflows. 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 (Model Context Protocol) 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 effective use of agentic infrastructure Tasks * Bachelor's degree in Computer Science, Data Science or Engineering * 7+ years of software engineering experience with demonstrated platform or infrastructure impact * 5+ years hands-on experience building, deploying, or integrating AI/ML systems in production * 5+ years experience with cloud platforms and infrastructure automation (Terraform, Kubernetes, etc.) * 2+ years experience with prompt engineering and context optimization with measurable quality improvements * 2+ years experience designing reusable tools, frameworks, or developer productivity infrastructure * Travel ~50% based on client engagements * Must be legally authorized to work in the United States without sponsorship; must obtain required clearance Key requirements *


## Related Videos

- [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon)
- [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines)
- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure](https://www.wearedevelopers.com/videos/1539-agentic-devops-how-ai-powered-automation-transforms-software-delivery-on-github-and-azure)
- [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform)
- [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100)
- [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)