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United States
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Required skills
10+ years of professional experience, with 4+ years driving Machine Learning / AI projects and solution design.
Good working understanding of modern GenAI agentic designs and frameworks (e.g., LangChain / LangGraph) and of AI integration patterns, including MCP (Model Context Protocol)-style tool and data integration.
Ability to define security boundaries and model/tool controls — what an AI system is allowed to access and do, guardrails against incorrect or unverifiable outputs, and human-in-the-loop checkpoints.
Experience establishing delivery governance and release gates — clear quality, security, and compliance criteria that each release must pass before go-live.
Understanding of Cloud services (Azure, GCP, or AWS) and Agile delivery with tools like JIRA and Confluence
Bachelor's degree
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