Embedded AI Engineer for Federal Missions

Accenture PLC; Arlington (VA); Vor Ort; USD 125.000 - 210.000; Vollzeit

Zusammenfassung

Accenture Federal Services seeks an experienced Forward Deployed Engineer to embed with federal clients, leading rapid AI-driven engineering, deployment, and scaling of mission-critical solutions. You will shape architectures, ensure secure integration with legacy and regulated data environments, and drive fast, autonomous delivery.

The role requires deep GenAI expertise, full-stack capabilities, and the ability to operate across frontend, backend, and data pipelines at scale in highly secure

Qualifikationen

• Bachelor’s degree or equivalent professional software engineering experience.
• Experience leading design, build, and deployment of production systems.
• Working knowledge of frontier AI platforms and tooling.
• U.S. citizenship and ability to obtain federal security clearance.

Aufgaben

• Lead embedded AI native engineering for federal clients and deploy mission-critical solutions.
• Architect, build, and scale production-grade AI systems at the mission edge.
• Guide engineering decisions within federal teams and ensure secure, compliant delivery.
• Collaborate with APX leadership to refine reusable assets and deployment playbooks.
• Represent technical delivery in client sessions with clear communication.

Kenntnisse

Programming (Python or Rust)

AI/GenAI development

Full stack development

Team collaboration

Communication

Problem solving

US Citizenship

Ausbildung

Bachelor's degree

Tools

Gemini Enterprise Agent Platform

OpenAI

Claude

Jobbeschreibung

Accenture Federal Services seeks an experienced Forward Deployed Engineer to embed with federal clients, leading rapid AI-driven engineering, deployment, and scaling of mission-critical solutions. You will shape architectures, ensure secure integration with legacy and regulated data environments, and drive fast, autonomous delivery.

The role requires deep GenAI expertise, full-stack capabilities, and the ability to operate across frontend, backend, and data pipelines at scale in highly secure