Booz Allen Hamilton
Frontier AI Research Engineer, Lead
Washington, District of Columbia · Part-time
Sponsorship not specified$129k-$292kDetected 8 days ago
Machine LearningLLMsMLOpsSensorsResearchLeadershipCommunicationCollaborationPublic Speaking
About the role
- Frontier Research operates at the edge of what's possible to convert breakthrough capabilities into real-world impacts.
- Frontier Research functions as both a strategic radar and an execution engine, turning frontier AI capabilities into differentiated IP, new product directions, and transformational business opportunities.
Responsibilities
- 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.
- Deliver working systems-not slideware.
- Conduct design reviews, guide architectural decisions, and raise the overall technical bar of the Applied Research team.
- 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
- Ability to create and drive technical roadmaps aligned with organizational goals
- Experience building or advising AI‑driven businesses, including monetization strategies and go‑to‑market planning
- Ability to engage and influence senior executives, commercial partners, and external stakeholders
Requirements
- 5+ years of experience in deep technical engineering
- Experience with translating research into scalable, revenue‑generating solutions
- Experience guiding R&D efforts from concept through implementation
- Ability to display high creativity, intellectual curiosity, and enthusiasm for showcasing innovative AI capabilities
- Bachelor's degree
- You may also be required to work from or visit a customer facility.
- Nice If You Have:
Nice to have
- Experience scaling AI systems from prototype to enterprise-grade product environments
- Experience in a leadership role of multidisciplinary engineering or research teams delivering high‑impact technical outcomes
- Experience with driving innovation programs, incubators, or R&D portfolios
- Experience with cloud-native AI infrastructure, MLOps, or large-scale model deployment
- Experience as a thought leader in AI, including speaking at technical keynotes, conferences, or public forums
- Ability to display a record of published research, patents, or conference presentations in AI, ML, or emerging technologies
- 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 a plus
Compensation
- Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
- The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD).
- The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees.
Benefits
- Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.
- Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs.
- Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
- We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
- Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually.
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