Lead AI Research Engineer

EEOC

Lead Engineer driving architectural rigor and engineering execution of advanced AI systems at Booz Allen. Evaluating tech advancements and guiding development from prototype to production-grade capabilities.

Posted 7/14/2026full-timeMcLean • District of Columbia, Virginia • 🇺🇸 United StatesSenior💰 $128,700 - $292,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building advanced AI systems, leading technical assessments, and integrating emerging AI technologies in complex environments. Proven ability to translate research into scalable solutions and drive technical roadmaps aligned with organizational goals.

Highest-signal resume keywords

Advanced AI System DesignTechnical LeadershipPrototype DevelopmentTechnical Roadmap CreationStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep Technical EngineeringAI PrototypingPerformance BenchmarkingArchitectural Decision MakingTechnical Assessment

Soft Skills

CreativityIntellectual CuriosityEnthusiasm

Tools & Technologies

Cloud InfrastructureHybrid SystemsEdge ComputingAI Frameworks

Industry Keywords

HyperscalersAI LabsApplied ResearchMulti-Agent ApplicationsPhysical AI Pipelines

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Evaluate emerging advancements across hyperscalers, leading AI labs, academia, and venture-backed companies.
Conduct hands-on technical assessments, benchmarks, and proof-of-concepts to validate applicability and performance.
Own the technical delivery of end-to-end AI systems spanning infrastructure, frontier LLMs, agentic and multi-agent applications and physical AI pipelines.
Work with business units, to support hands-on integration of emerging AI technologies in complex customer environments such as cloud, hybrid, edge, or disconnected.
Provide day-to-day technical leadership to engineers and researchers.
Conduct design reviews, guide architectural decisions, and raise the overall technical bar of the Applied Research team.
Convert prototype learnings into reusable frameworks, reference architectures, accelerators, and technical artifacts that scale across programs and business units.

Requirements

What you’ll need

5+ years of experience in deep technical engineering
Experience designing and building advanced AI systems, including managing them
Experience developing AI prototypes, products, or high-visibility technical demonstrations
Experience leading technical exchanges and evaluations with commercial partners and executive stakeholders
Experience with translating research into scalable, revenue-generating solutions
Ability to create and drive technical roadmaps aligned with organizational goals
Ability to display high creativity, intellectual curiosity, and enthusiasm for showcasing innovative AI capabilities
Bachelor’s degree

Benefits

Comp & perks

health, life, disability, financial, and retirement benefits
paid leave
professional development
tuition assistance
work-life programs
dependent care
recognition awards for exceptional performance