Staff AI DevOps Engineer
Core
Design and build secure, scalable, enterprise-grade AI solutions including infrastructure for federated AI agents, MCP servers, and AI-augmented development workflows across AWS and Azure.
Role type
Staff AI DevOps Engineer (Infrastructure & Cloud Services)
Builds
Federated AI agent infrastructure, MCP servers, AI-augmented development workflows, and secure AI lifecycle pipelines.
Domain
Genomics technology, Enterprise Cloud, AI Infrastructure
Deliverable
production ML models
Required skills
AI/ML infrastructure design, Agent orchestration, Python, TypeScript/JavaScript, AWS, Azure, Terraform, Ansible, Docker, Kubernetes, OAuth 2.0/OpenID Connect, API security, IaC, MCP (Model Context Protocol)
Preferred skills
AWS Agent Core/Bedrock, Azure AI Foundry/Agent Loop, MCP integration patterns, Federated systems, AI governance, RAG architectures, Code generation tools
Technologies
AWS, Azure, Terraform, Ansible, Docker, Kubernetes, Python, TypeScript, MCP, OAuth, LLMs
Responsibilities
Design AI infrastructure for federated agents; Orchestrate AI agents for code generation; Build MCP servers; Integrate LLMs into bot solutions; Develop IaC for cloud provisioning; Establish monitoring and security frameworks for AI operations; Mentor engineers on AI infrastructure best practices.
Seniority
Staff, technical leadership & mentorship
