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Specialized Lead AI platform role, non-metro location and non-Tier1 brand reduce candidate competition.
Core ML platform skills transferable across industries, but agentic and enterprise integration experience adds moderate domain bias.
Multiple mandatory requirements (5+ years, production AI, Azure, Python, distributed systems) make filters strict.
Lead architecture and delivery of autonomous AI agents based on Field Product Manager defined features and capabilities, including orchestration design, tooling, and production reliability.
Design multi-agent systems, reusable agent frameworks, and oversee technical standards, evaluation, and operational quality for AI agents.
Lead and mentor a small engineering team, coordinate with other engineering leads to align AI agent implementations with engineering domain requirements.
5+ years professional software engineering experience.
2+ years experience building production AI-enabled applications.
Expert-level Python development skills, experience with cloud-native distributed systems and modern cloud platforms (Azure preferred).
Prior experience leading a small team or acting as technical lead, familiarity with REST APIs, containerization (Docker), CI/CD pipelines, SQL, and Git.
Experienced in designing and delivering complex AI/agentic systems integrated into business and engineering workflows, focusing on multi-agent orchestration and automation.
Capable of setting technical standards and leading a small team in a cross-functional, product-driven technical environment.
Strong background with Azure cloud services and modern DevOps practices, able to coordinate with multiple engineering domain leads effectively.