Frontier AI Research Engineer, Lead

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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.

• 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.

• Deliver working systems—not slideware.

• Work with business units to support hands-on integration of emerging AI technologies in complex customer environments such as cloud, hybrid, edge, or disconnected.

• Ensure production rigor without sacrificing innovation speed.

• 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.

• 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

• Experience guiding R&D efforts from concept through implementation

• 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

• 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 building or advising AI‑driven businesses, including monetization strategies and go‑to‑market planning

• 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 engage and influence senior executives, commercial partners, and external stakeholders

• Ability to display a record of published research, patents, or conference presentations in AI, ML, or emerging technologies

• Ability to maintain a strong network within the AI research or engineering community to support recruiting and partnership development

• 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

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