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Remote flexibility, metro hiring pool, and broad ML platform managerial requirements drive high candidate competition.
Requires specialized agentic ML platform and engineering management skills, limiting transferability across unrelated industries.
Requires production AI platform experience and proven engineering management, making shortlisting highly selective.
Lead and develop the Agentic AI engineering team, including setting goals, coaching, performance management, and ownership allocation.
Take end-to-end ownership of significant technical areas of the shared Agentic AI platform, including design, implementation, and operation.
Collaborate across product engineering, architecture, cloud platform, security, and product management to deliver reusable platform capabilities adopted company-wide.
Strong software engineering experience in Python, TypeScript, Java, or similar, with focus on designing, building, and operating reliable production systems.
Proven experience leading and managing engineering teams with coaching and performance feedback responsibilities.
Experience building platforms, APIs, or shared services used by multiple teams with sound judgement on abstractions and operational aspects.
Bachelor’s degree or higher in Computer Science, Machine Learning, Data Science, Artificial Intelligence, or related fields.
Experienced in designing or building production AI systems using large language models or agentic workflows, with practical understanding of limitations and risks.
Capable of balancing platform coherence with legitimate product/domain differences and making clear technical trade-offs.
Proven ability to collaborate cross-functionally in a global organization to influence architecture, security, compliance, and delivery decisions.