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Tier-1 brand and metro location with senior ML specialization yields moderate to high competition.
Deep applied AI, LLM, and industry-vertical expertise required, making backgrounds less transferable.
Multiple explicit years requirements and specific generative AI and leadership mandates create strict filters.
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Lead and grow a specialized engineering team to build and scale AI-driven production applications for critical industry verticals using Google Cloud, Gemini models, and open standards.
Architect and deliver scalable, maintainable, and secure AI workflows including autonomous agents, custom connectors, and Agent-to-User Interfaces (A2UI).
Collaborate cross-functionally with product, UX, research, and enterprise partners to translate complex industry requirements into robust technical roadmaps and solutions.
Bachelor's degree or equivalent practical experience.
8 years of software development experience.
5 years leading machine learning design and optimizing ML infrastructure (model deployment, evaluation, debugging, fine tuning).
2 years people management or team leadership experience and 3 years in a technical leadership role plus 2 years experience with generative AI techniques or related concepts.
Experienced leader with technical and people management expertise in building scalable AI systems and products integrating generative AI technologies, large language models, and industry-specific solutions.
Strong background in AI-native interfaces and integrating enterprise systems using API-centric frameworks and open protocols like Model Context Protocol (MCP).
Able to lead multi-site teams while maintaining high engineering standards in code quality, testing, reliability, and scalability for enterprise-grade AI applications.