Senior AI DevOps Engineer - Enterprise AI Infra (Hybrid)

Illumina, Inc.

San Diego (CA)

Hybrid

USD 142,000 - 212,000

Full time

4 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Illumina, Inc. seeks a Staff AI DevOps Engineer in San Diego to shape AI-infused software development and scalable infrastructure. You’ll design secure AI infrastructure for federated agents, MCP servers, and AI-augmented workflows across AWS and Azure.

Lead the AI lifecycle from development to deployment, mentor engineers, and collaborate with Infrastructure & Cloud Services and product teams to improve efficiency and user experience in an enterprise setting.

Qualifications

Typically requires a minimum of 8 years of professional software development experience with a bachelor's degree; or 6 years with a master's degree; or equivalent experience.
Experience with AI/ML infrastructure, agent orchestration, or similar AI-powered development tools.
Proficiency in Python, TypeScript/JavaScript, and experience with AI/ML frameworks and libraries.
Strong understanding of enterprise software architecture patterns and distributed systems design.
Experience with cloud platforms (AWS, Azure) and infrastructure-as-code tools.
Experience with Docker, Kubernetes and container orchestration in production environments.
Strong understanding of information security principles, OAuth 2.0/OpenID Connect flows, API security, and secure system design.
Strong communication and mentoring skills with the ability to collaborate across different teams.
Basic understanding of enterprise services like Microsoft 365 and IAM (Identity and Access Management) and their APIs (e.g., Microsoft Graph API, Azure AD).
Excellent problem-solving skills and the ability to work in an innovative, fast-paced incubator environment.

Responsibilities

Design and implement AI infrastructure to support federated agent development and distributed deployment across the organization.
Manage and orchestrate AI agents to generate architecturally sound code, ensuring adherence to enterprise standards and best practices.
Build and maintain MCP (Model Context Protocol) servers and related infrastructure for agent communication, coordination, and enterprise integration.
Accelerate code review processes by leveraging AI agents for automated analysis, quality checks, and architectural validation.
Integrate AI models and APIs, including LLMs and generative AI, into the bot solutions to provide natural language understanding and intelligent responses.
Develop and manage infrastructure-as-code (IaC) using tools like Terraform or Ansible to provision and configure resources on AWS, Azure.
Establish robust monitoring, governance, and security frameworks for AI agent operations in enterprise environments.
Implement and manage secure authentication and authorization systems for MCP servers, including OAuth flows and API security.
Collaborate closely with product owners and internal customers to gather requirements and deliver solutions that improve efficiency and user experience.
Act as a forward deployed engineer, coaching on AI infrastructure best practices across teams.
Provide technical leadership in transitioning traditional development practices to AI-augmented approaches.
Mentor and guide junior engineers, promoting best practices in software development, AI integration, DevOps, Cloud and Platform Engineering.