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Tier-1 employer and metro location but highly specialized senior role limits applicant pool.
Highly specialized agentic GenAI expertise required, making cross-industry transferability limited.
Explicit 12+ years plus specialized GenAI/agentic expertise and concrete tooling requirements.
Design and integrate scalable generative and agentic AI solutions, focusing on enterprise Controls Technology platform enhancement.
Architect advanced context engineering, Retrieval-Augmented Generation (RAG), knowledge graphs, and multi-agent orchestration to improve automation and operational efficiency.
Lead deployment and maintenance of AI systems ensuring reliability, observability, compliance, and ethical AI practices.
12+ years total experience with 5-7 years in AI/software development, notably in Generative AI and agentic AI.
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
Strong proficiency in Python, containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI applications.
Experience with AWS or equivalent cloud infrastructure for AI/GenAI solutions.
Proven expertise in architecting agentic AI systems using Google ADK or comparable frameworks and multi-agent orchestration patterns.
Experience in building and optimizing RAG systems, knowledge graphs, and advanced prompt/context engineering.
Capable of collaborating cross-functionally to deploy production-grade, compliant, and ethical AI solutions with mentorship experience.