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Strong employer brand, remote option, and metro location create high candidate competition.
Requires deep GenAI platform and leadership experience, limiting easy cross-industry transfers.
Explicit 10+ years and 3+ years management plus mandatory GenAI and Python requirements enforce strict shortlisting.
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Own end-to-end technical and delivery responsibility for multiple AI platforms and services, ensuring scalability, reliability, and reusability of GenAI systems.
Lead and mentor senior engineers and technical leads, driving architecture, engineering standards, and execution discipline across AI backend services using Python frameworks like FastAPI or Flask.
Act as primary escalation point for technical and delivery challenges while partnering closely with product, AI/ML, DevOps, and consulting teams to align technical approaches with business needs.
10+ years software engineering experience with at least 3 years in technical leadership or engineering management roles.
Strong backend engineering skills in Python, specifically with FastAPI, Flask, or similar frameworks.
Hands-on experience building, integrating, and scaling Generative AI (GenAI) / LLM-based systems including prompt pipelines, model APIs, and agentic or workflow-based AI solutions.
Experience owning architecture and delivery for multiple AI platforms and services in production environments.
Demonstrated ability to lead high-performing engineering teams with a balance of technical credibility and management skills in complex AI platform environments.
Experienced in managing ambiguity and making pragmatic technical and delivery decisions for scalable, production-grade GenAI systems.
Familiar with cross-functional collaboration involving product, AI/ML, DevOps, and consulting teams to deliver predictable and high-quality AI solution outcomes.