Frontier AI Research Engineer, Lead

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VAWashington, DC
Employment
Full-time
Posted
104 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $212k
$137k $274k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $168,620–$254,750.

Based on 240 similar postings.

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About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Frontier AI Research Engineer, Lead

The Frontier AI Research Engineer, Lead joins the Frontier Research team to serve as a senior technical builder and engineering authority. This role involves designing, building, and validating advanced AI systems across the full stack, translating frontier concepts into production-grade capabilities. Key responsibilities include conducting technical assessments and benchmarks, owning the delivery of end-to-end systems, and providing day-to-day technical leadership to engineers and researchers. The position requires expertise in distributed AI systems, agentic and multi-agent applications, and physical AI pipelines. Candidates must demonstrate skills in cloud-native AI infrastructure, MLOps, and large-scale model deployment. The work focuses on converting breakthrough research into differentiated IP and reusable frameworks for complex customer environments, including cloud, hybrid, edge, and disconnected systems.

What you'll do

  • Conduct hands-on technical assessments, benchmarks, and proof-of-concepts to validate AI performance.
  • Own the technical delivery of end-to-end AI systems including infrastructure, LLMs, and agentic applications.
  • Build and deliver working systems rather than just presentations or documentation.
  • Integrate emerging AI technologies into complex customer environments like cloud, edge, or disconnected systems.
  • Provide day-to-day technical leadership and guidance to engineers and researchers.
  • Conduct design reviews and guide architectural decisions to raise the team's technical bar.
  • Convert prototype learnings into reusable frameworks, reference architectures, and scalable technical artifacts.

What we're looking for

  • 5+ years of experience in deep technical engineering.
  • Experience designing, building, and managing advanced AI systems.
  • Experience developing AI prototypes, products, or high-visibility technical demonstrations.
  • Experience leading technical exchanges with commercial partners and executive stakeholders.
  • Experience translating research into scalable, revenue-generating solutions.
  • Experience guiding R&D efforts from concept through implementation.
  • Master's degree in Computer Science, Engineering, AI, or a related technical field (preferred).

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