> Markdown version of [/jobs/ext/2016031-agentic-capability-ai-and-data-science-engineer](https://www.wearedevelopers.com/jobs/ext/2016031-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:** Philadelphia, PA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, System Configuration, Continuous Integration, Software Engineering, Systems Architecture, Systems Integration, Prompt Engineering, AI Platforms, 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-philadelphia-pa-usa-58885385

## About the Role

2026-09-09 * 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 effective use of agentic infrastructure 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 prompt engineering and context optimization with measurable quality improvements * 2+ years designing reusable tools, frameworks, or developer productivity infrastructure * Ability to travel 50% * Legal authorization to work in the United States without sponsorship * Must obtain required security clearance Key requirements *

## Description

Experteer Overview In this role you design, build, and maintain the agentic infrastructure powering AI-driven delivery at scale. You will shape agent systems and reusable prompts to support cross-functional delivery teams. You'll stand up MCP servers, CLI tools, and testing frameworks while improving reliability and security. Collaborating with ADEs and AEMs, you will guide how to use the agentic platform and drive scalable, high-quality outputs. This is a hands-on, impact-focused opportunity to advance AI platforms for government and public sector clients. Compensation / Benefits * Design and implement agent system architecture and DevSecOps 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, 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 effective use of agentic infrastructure 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 prompt engineering and context optimization with measurable quality improvements * 2+ years designing reusable tools, frameworks, or developer productivity infrastructure * Ability to travel 50% * Legal authorization to work in the United States without sponsorship * Must obtain required security clearance Key requirements *


## Related Videos

- [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)
- [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)
- [The Agentic Enterprise: Orchestrating People, AI, and European Sovereignty](https://www.wearedevelopers.com/videos/100273-the-agentic-enterprise-orchestrating-people-ai-and-european-sovereignty)
- [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [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)
- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)