AI Engineer (Agentic AI) - Secret cleared

accenturefederalservices; United States; Remote; USD 89,000 - 170,000; Full time

Job summary

Accenture Federal Services is seeking a role focused on building and productionizing generative AI agents for mission-critical analytics in a secure government cloud environment. The work centers on prompt and agent design for multi-agent simulations, with ongoing evaluation and tuning to keep outputs useful, realistic, and dependable as needs evolve. The position requires U.S.

citizenship, an active Secret clearance, and the ability to work full-time on-site in the Washington, D.C. area.

Qualifications

• U.S. citizenship and an active Secret clearance.
• Bachelor's degree in computer science, data science, or a related field, or equivalent practical experience such as four additional years of relevant work.
• Applied AI or machine learning engineering experience, including production prompt engineering or agentic system design.
• Hands-on experience with large language model APIs and the cost and performance considerations of scaling their use.
• Proficiency with version control tools such as Git.
• Ability to work full time on-site in the Washington, D.C. area.

Responsibilities

• Develop, test, and refine prompts for agents operating in multi-agent simulation settings.
• Integrate agent workflows with a cloud-based generative AI platform and tune for performance and cost.
• Assess generated outputs with statistical methods and feedback from subject-matter experts.
• Improve agent reliability and realism as new use cases and mission requirements arise.

Skills

AI/ML engineering

Prompt engineering

Agentic system design

Large language models

Git

On-site work in DC area

Education

Bachelor's degree in computer science or related field

Tools

Git

Job description

Role overview

Build and productionize generative AI agents for mission-critical analytics in a secure government cloud environment. The work centers on prompt and agent design for multi-agent simulations, with ongoing evaluation and tuning so outputs remain useful, realistic, and dependable as needs evolve.

Responsibilities

• Develop, test, and refine prompts for agents operating in multi-agent simulation settings.
• Integrate agent workflows with a cloud-based generative AI platform and tune for performance and cost.
• Assess generated outputs with statistical methods and feedback from subject-matter experts.
• Improve agent reliability and realism as new use cases and mission requirements arise.

Requirements

• U.S. citizenship and an active Secret clearance.
• Bachelor's degree in computer science, data science, or a related field, or equivalent practical experience such as four additional years of relevant work.
• Applied AI or machine learning engineering experience, including production prompt engineering or agentic system design.
• Hands-on experience with large language model APIs and the cost and performance considerations of scaling their use.
• Proficiency with version control tools such as Git.
• Ability to work full time on-site in the Washington, D.C. area.

Nice to have

Experience with mathematical or linear optimization, multi-agent modeling, a data integration and analytics platform used in government settings, or healthcare, clinical, or defense analytics is preferred.

Benefits and work setup

The role is full time and on-site in the Washington, D.C. area. The source lists a base pay range of $89,000-$170,200 for specified U.S. jurisdictions; compensation varies by location, skills, experience, and role factors.