Lead AI Research Engineer

Responsibilities

• 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.

• 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

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.