Google Cloud certifications (Professional Machine Learning Engineer, or Professional Cloud Architect).
Experience with Terraform, Kubernetes (GKE), or CI/CD pipelines, for coordinating with platform/DevOps teams on agent infrastructure.
Experience with monitoring/observability stacks (Cloud Monitoring, Prometheus, Grafana, Datadog).
Familiarity with responsible-AI/model-risk frameworks applied to enterprise GenAI.- Prior experience with other enterprise GenAI/agent platforms (e.g., OpenAI, Anthropic, open-source LLM stacks) as a point of comparison.Soft Skills
Strong governance and risk mindset — able to balance agent capability with safety, compliance, and trust.
Clear communicator who can translate technical agent behavior into business and compliance language.
Comfortable operating in ambiguity, especially with fast-evolving Gemini features and emerging agent governance practices.
Ownership mentality — from agent design through deployment, evaluation, and long-term governance.Tech Stack SummaryCategoryTools / TechnologiesAgent Development (Primary)Gemini Enterprise (Agentspace), Gemini Models, Vertex AI, Model Armor, Custom ADK agents, Agent designerAI GovernanceEvaluation frameworks, audit/logging tooling, responsible