Frontier AI Research Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VAWashington, DC
Salary
$77,600–$176,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k
This role $127k
$56k most similar roles pay here $276k

This role pays less than 94% of similar roles. Most pay $162,000–$240,625 — the shaded band above. At the midpoint, this role pays about $127k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

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 1159 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 804 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Frontier AI Research Engineer

As a Frontier AI Research Engineer, you will join the Frontier Research team to serve as a senior technical builder and authority. You will be responsible for designing, building, and validating advanced AI systems across the full stack, translating frontier concepts into working systems rather than just presentations. Your daily work involves evaluating advancements from hyper scalers and academia, conducting technical assessments, and delivering end-to-end systems involving infrastructure, frontier LLMs, agentic and multi-agent applications, and physical AI pipelines. You will also create reusable frameworks and reference architectures while providing technical leadership to engineers and researchers. The role requires expertise in deep technical engineering, building AI prototypes, and managing complex integrations across cloud, hybrid, edge, or disconnected environments. Key skills include architectural design, MLOps, and scaling systems from prototype to enterprise-grade production environments.

What you'll do

  • Evaluate emerging AI advancements from hyperscalers, research labs, and academia.
  • Conduct technical assessments, benchmarks, and proof-of-concepts to validate AI performance.
  • Build end-to-end systems including infrastructure, LLMs, agentic applications, and physical AI pipelines.
  • Integrate emerging AI technologies into complex customer environments like cloud, edge, or disconnected systems.
  • Provide day-to-day technical leadership and conduct design reviews for the research team.
  • Convert prototype learnings into reusable frameworks, reference architectures, and scalable technical artifacts.
  • Translate frontier research concepts into production-grade capabilities and revenue-generating solutions.

What we're looking for

  • Master's degree in Computer Science, Engineering, AI, or a related technical field (preferred).
  • Doctorate degree in Computer Science, Engineering, AI, or a related technical field (plus).
  • Experience in deep technical engineering and designing/building 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 and guiding R&D from concept to implementation.
  • Experience with cloud-native AI infrastructure, MLOps, or large-scale model deployment (preferred).

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