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Senior, niche GenAI leader in a non-metro location reduces applicant density.
Highly specialized GenAI and industrial AI experience required limits cross-industry transferability.
Explicit 10–15 years, deep GenAI/GCP requirements and leadership make filters highly selective.
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Lead the end-to-end design, development, and deployment of Generative AI agents using Google ADK, LangGraph, and Crew.AI frameworks within GCP ecosystem.
Architect scalable Python-based AI solutions including multi-cloud orchestration and real-time edge computing for industrial sectors like energy, utilities, and manufacturing.
Manage and mentor a high-performing AI engineering team; oversee AI product lifecycle from conceptualization to production ensuring alignment with strategic goals.
10-15 years of software engineering and AI/ML experience with specialization in Generative AI.
Deep hands-on expertise with Google Cloud Platform (GCP), Gemini Enterprise, Gemini Agent Platform, and Google ADK.
Experience building, deploying, and maintaining AI agents using Google ADK, LangGraph, Crew.AI or equivalent frameworks.
Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or closely related quantitative field.
Senior engineering leader with extensive experience managing and scaling AI-focused technical teams in enterprise environments.
Strong domain expertise in Generative AI, Large Language Models, agentic workflows, and industrial AI applications.
Experienced in working with sovereign cloud platforms and compliance-sensitive AI infrastructure within complex, multi-cloud ecosystems.