Lead AI Engineer

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This is a vendor requirement UpWia is sourcing candidates for, not an in-house UpWia role. Client and engagement specifics are shared directly with matched candidates during the process; only the role requirements are listed here. A lead role architecting and delivering production-grade agentic AI solutions for an enterprise environment, guiding development teams and setting technical direction. Key job responsibilities Architect and deliver production-grade agentic AI solutions for enterprise use cases Build multi-agent systems and ensure scalable, reliable deployment Guide development teams and lead technical initiatives Communicate directly with stakeholders on technical strategy and tradeoffs Work on enterprise data integration for AI application deployment Basic Qualifications 10+ years of experience in a lead AI/software engineering capacity 5+ years of experience in AI/ML specifically 1+ years of experience building agentic AI solutions Strong expertise in Python and modern software engineering practices Hands-on experience with LangGraph, LangChain, LLMs, and prompt engineering Familiarity with an enterprise AI platform (Azure AI Foundry, AWS Bedrock, or Google Gemini Enterprise) Preferred Qualifications Experience with Databricks MLOps/LLMOps experience Experience with enterprise AI governance, security, and observability #J-18808-Ljbffr Jobleads-US

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