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Remote role, metro location, and popular ML title increase competition, offset by seniority and niche agentic focus.
Role requires deep agentic ML, GCP and MLOps expertise, making cross-industry transferability limited.
Explicit 12+ years requirement plus Vertex AI, GCP, and agentic expertise makes shortlist filters stringent.
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Lead technical enablement and continuous enhancement of advanced agentic AI platforms including deployment, integration, and lifecycle management.
Architect, develop, and optimize custom connectors, APIs, and agentic workflows ensuring performance, scalability, security, and reliability.
Drive AI solutions deployment at enterprise scale collaborating with data science teams; establish best practices, governance, and operational excellence for ML/Agentic AI frameworks.
Advanced degree in quantitative field such as CS, engineering, statistics, math, or data science.
6+ years of relevant Agentic AI/Machine Learning experience and overall 12+ years industry experience.
Professional experience with Vertex AI and GCP services; strong proficiency in Python; knowledge of agentic protocols like MCP and A2A.
Experience in enterprise-scale AI/ML deployments, agile software development (Kanban, Scrum), and CI/CD practices for agentic solutions.
Experienced leader in complex, matrixed organization skilled in enterprise Agentic AI platform deployment and operationalization.
Deep expertise with Generative AI, agent orchestration, ML Ops, and cloud-native AI platform technologies (especially GCP/Vertex AI).
Strong track record of driving innovation, governance, and scaling of AI/ML solutions with collaboration across data science, engineering, and business stakeholders.