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AI Engineer – Agentic AI
Accenture Federal Services. Design and productionize AI agents for mission-critical federal analytics .
Posted 10/8/2026full-timeArlington • Virginia • United StatesMid-LevelSenior💰 $89,000 - $170,200 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI agent design and production, with a strong focus on applied ML/AI engineering and prompt engineering. Proficient in integrating cloud-based generative AI platforms while optimizing performance and cost in secure government environments.
Highest-signal resume keywords
Applied ML/AI EngineeringPrompt EngineeringLarge Language Model APIsVersion Control (Git)Active Secret Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Agent DesignMulti-Agent SimulationStatistical ModelsPerformance OptimizationMathematical Optimization
Tools & Technologies
Cloud-Based Generative AI PlatformPalantir FoundryPalantir AIP
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceUS Citizenship
Industry Keywords
Federal AnalyticsHealthcare AnalyticsClinical AnalyticsDefense Analytics
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Design and productionize AI agents for mission-critical federal analytics
- Develop, test, and refine prompts for AI agents in multi-agent simulation environments
- Integrate with a cloud-based generative AI platform
- Optimize systems 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
- Help bring advanced generative AI capabilities into real-world operational environments within a secure government cloud ecosystem
Requirements
What you’ll need- 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 such as Git
- Ability to work full time on-site in the DC area
- Preferred: background in linear or mathematical optimization
- Preferred: experience with multi-agent or agent-based modeling
- Preferred: familiarity with Palantir Foundry or Palantir AIP
- Preferred: domain experience in healthcare, clinical, or defense analytics
- Work authorization in the US without current or future visa sponsorship requirement
Benefits
Comp & perks- Collaborative and caring community
- Hands-on experience
- Certifications
- Industry training
- Professional growth, learning, and development opportunities
- Wide variety of benefits (specific benefits not enumerated in the posting)