AI Engineer (Agentic AI) - Secret cleared

Accenture Federal Services•Arlington, VA
•$89,000 - $170,200•Onsite

About The Position

At Accenture Federal Services, our purpose is to help the US federal government make the nation stronger and safer, and improve people's lives. Our 13,000+ people are united by a shared purpose to leverage the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within the global Accenture network. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel a sense of belonging and are empowered to grow, learn, and thrive through hands-on experience, certifications, industry training, and more. Join us to drive positive, lasting change that moves missions and the government forward! The work involves shaping the next generation of mission-critical federal analytics by bringing advanced generative AI capabilities into real-world operational environments. In this role, you will design and productionize AI agents that can reason through complex, novel scenarios within a secure government cloud ecosystem.

Requirements

  • US Citizen
  • Active Secret clearance
  • Bachelor’s degree in computer science, data science, or a related field or equivalent practical experience—such as 4 additional years of relevant hands‑on work
  • Experience in applied ML/AI engineering, including production prompt engineering or agentic system design.
  • Hands‑on experience with large language model APIs and scaling considerations for cost and performance.
  • Proficiency with version control tools (e.g., Git).
  • Ability to work full time on-site in the DC area.

Nice To Haves

  • Background in linear or mathematical optimization.
  • Experience with multi‑agent or agent‑based modeling.
  • Familiarity with Palantir Foundry or Palantir AIP.
  • Domain experience in healthcare, clinical, or defense analytics.

Responsibilities

  • Develop, test, and refine prompts for AI agents operating in multi-agent simulation environments.
  • Integrate with a cloud-based generative AI platform, ensuring systems are optimized for performance and cost.
  • Validate AI-generated outputs using statistical models and subject-matter-expert feedback.
  • Continuously enhance agent reliability and realism as new use cases and mission needs emerge.

Benefits

  • Hands-on experience
  • Certifications
  • Industry training
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