Lead Frontier AI Engineer: Build Production-Grade Systems

Booz Allen Hamilton; North Dakota; Vor Ort; USD 78.000 - 176.000; Vollzeit

Zusammenfassung

Booz Allen Hamilton is seeking a Frontier AI Research Engineer to design, build, and validate advanced AI systems across the full stack within Frontier Research. You will translate frontier concepts into production-grade capabilities and provide senior technical leadership.

You’ll evaluate emerging AI advancements, own end-to-end delivery, and collaborate with business units to integrate AI in complex environments, from cloud to edge, while maintaining production rigor and innovation.

Qualifikationen

• Experience designing and building advanced AI systems.
• Experience developing AI prototypes, products, or high-visibility demonstrations.
• Experience leading technical exchanges with partners and executives.

Aufgaben

• Evaluate emerging AI advancements across labs and academia.
• Conduct hands-on assessments, benchmarks, and proofs-of-concept.
• Own end-to-end AI system delivery across infrastructure and LLMs.
• Deliver working systems, not slideware.
• Support integration of AI in complex customer environments (cloud, hybrid, edge).
• Ensure production rigor while maintaining speed of innovation.
• Provide day-to-day technical leadership to engineers and researchers.
• Conduct design reviews and guide architectural decisions.
• Convert prototype learnings into scalable frameworks and artifacts.

Kenntnisse

AI systems design

Prototype development

Technical leadership

Roadmap planning

Strategic partnerships

Creative thinking

Bachelor's degree

Ausbildung

Bachelor's degree

Master's degree in CS/Engineering/AI

PhD in CS/Engineering/AI

Jobbeschreibung

Booz Allen Hamilton is seeking a Frontier AI Research Engineer to design, build, and validate advanced AI systems across the full stack within Frontier Research. You will translate frontier concepts into production-grade capabilities and provide senior technical leadership.

You’ll evaluate emerging AI advancements, own end-to-end delivery, and collaborate with business units to integrate AI in complex environments, from cloud to edge, while maintaining production rigor and innovation.