Drimva

Accenture

AI Engineer (Agentic AI) - Secret cleared

$89K–$170K

Arlington, VA +1 · Full-time · Posted Oct 8, 2026

Location
Arlington, VA
Arlington, Virginia, United States
Education
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
Visa sponsorship
Applicants must have US work authorization that does not now or in the future require visa sponsorship.

About the job

Designs and productionizes AI agents for mission-critical federal analytics in a secure government cloud environment.

What you'll do

  • Develop, test, and refine prompts for AI agents in multi-agent simulations.
  • Integrate with a cloud-based generative AI platform and optimize performance and cost.
  • Validate AI outputs using statistical models and subject-matter-expert feedback; improve agent reliability and realism.

What they ask for

  • US citizen with an 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 for cost and performance.
  • Proficiency with version control tools (e.g., Git) and ability to work full time on-site in the DC area.

Nice to have

  • 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.

Pay

$89,000 — $170,200 USD (base salary)

Tools

Git, Palantir Foundry, Palantir AIP

AI focus

Develop and productionize agentic generative AI systems, including prompt engineering, multi-agent simulation, output validation, and reliability improvements.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)