Cloud AI Engineer Lead
Core
Lead the design and deployment of cloud-native AI/ML platforms, agentic AI solutions, and AI-powered log intelligence across GCP and Azure.
Role type
Senior IC Cloud AI Engineer Lead (Platform Engineering & AI Strategy)
Builds
Cloud-native AI platforms, agentic AI agents, AI-powered log intelligence tools, and automated CI/CD pipelines for AI governance.
Domain
Enterprise Cloud Infrastructure, Generative AI, Agentic AI, Platform Engineering
Deliverable
production ML models
Required skills
Python, Kubernetes (GKE/AKS), Docker, CI/CD, RAG architectures, Agentic AI, MCP, Tool calling, Cloud Security, RBAC, PII masking, Infrastructure as Code
Preferred skills
Professional Cloud Architect or ML Engineer certifications, AI/ML systems experience, Application security, API security
Technologies
Google Gemini Enterprise, Agent Development Kit (ADK), GCP, Azure, OpenAI, Anthropic, Kubernetes, Docker, Python, MCP, RAG
Responsibilities
Identify innovation opportunities and translate business needs into technical requirements; Coordinate and deliver proofs of concept for cloud and platform initiatives; Research disruptive technologies like generative AI and RPA; Lead and mentor cloud and AI platform engineers; Establish repeatable operating models for cloud-native AI/ML deployment; Convert AI governance and security requirements into technical specifications.
Seniority
Senior, hands-on IC with strategic leadership
