Serve as the ultimate technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team. Partner with business and tech leadership to define requirements for high-value opportunities, deploying specialized experts (e.g., Machine Learning Operations (MLOps), GenMedia, or Agentic systems) to key accounts. Lead technical hiring for forward deployed engineering, evaluating Artificial Intelligence/Machine Learning (AI/ML) expertise, systems engineering, and coding skills to build an engineering squad.
Identify skill gaps in emerging tech (e.g., Model Context Protocol (MCP), tool-calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack. Collaborate with product and engineering to resolve blockers and translate field insights into road maps, building internal tools to drive organizational efficiency.
Job description provided by Google.
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