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Forward Deployed AI Engineer

Job in Washington, District of Columbia, 20022, USA
Listing for: Accenture Federal Services
Full Time position
Listed on 2026-09-14
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 70500 - 203400 USD Yearly USD 70500.00 203400.00 YEAR
Job Description & How to Apply Below

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue 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 global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong 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!

About The APX Forward Deployed Engineer (FDE) Program

APX (Advanced Partnership Accelerator) is a Center of Excellence under AFS’ Data & AI capability. The APX Forward Deployed Engineer (FDE) Program represents a strategic initiative to position Accenture Federal Services at the forefront of artificial intelligence innovation in government. This program embeds elite technical talent directly with federal clients to accelerate the adoption and implementation of frontier AI capabilities from leading laboratories including OpenAI, Anthropic, Google, and other cutting‑edge AI partners.

As an FDE, you will serve as the critical bridge between breakthrough AI technology and mission‑critical federal applications. You'll work hands‑on with the most advanced AI models available, translating their transformative potential into tangible value for defense, intelligence, civilian, and public health missions. This is not a traditional consulting role; FDEs are technical practitioners, innovators, and trusted advisors who operate at the cutting edge of what's possible with AI in highly regulated, high‑security federal environments.

What

You Will Do

The APX FDE program exists because federal missions cannot wait for slow, siloed development cycles. They need embedded engineers who move with urgency, autonomy, and precision. As an experienced hire, you will lead the rapid engineering, deployment, and scaling of mission‑critical AI native solutions for the federal government. You will shape solution architectures, drive delivery for clients, and serve as the technical anchor embedded at the mission edge.

Lead

and Drive Mission Embedded Build Teams
  • Serve as the technical lead working within federal client teams, guiding engineering decisions in fast, complex conditions (e.g., autonomous AI at the edge)
  • Architect, build, and deploy rapid prototypes using frontier AI tools and frameworks
  • Translate complex, ambiguous mission problems into actionable technical roadmaps and implementable designs to build production‑grade systems.
  • Support integration of AI‑native solutions into diverse client environments, including legacy platforms, regulated data ecosystems, and classified environments
  • Operate across the tech stack, frontend, backend, APIs, orchestration layers, data pipelines, with autonomy and engineering depth
  • Drive development of applications and workflows that interact with structured and unstructured enterprise data at scale
Lead AI Native Engineering Practices
  • Leverage advanced GenAI tooling, agentic frameworks, and autonomous workflows as core components of daily engineering delivery
  • Design and implement sophisticated GenAI solutions such as RAG architectures, semantic search systems, and agentic orchestration
  • Evaluate model performance, improve generations and pipelines, and uphold responsible AI practices in mission critical settings
  • Drive fast experimentation cycles, ensuring close operator feedback loops and rapid iteration
Delivery…
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