01Overview
Role Description
As a Senior AI Governance & DevOps Engineer, you will create and manage a secure, scalable, and automated foundation for enterprise AI delivery across Arthrex. This role combines elements of AI governance, DevOps, LLMOps, cloud engineering, security, AI evaluation, and hands-on software delivery.
You will support ARTI, Arthrexs in-house AI assistant, and develop reusable AI framework capabilities for teams throughout the organization. Key responsibilities include continuous integration and continuous delivery (CI/CD) automation, setting synchronization, infrastructure as code, governance guardrails, observability, AI evaluation, and secure production operations.
Additionally, this role directly contributes to sprint delivery by addressing technical user stories, fixing bugs, conducting code reviews, and troubleshooting deployment, integration, performance, and environment issues. You will translate cybersecurity, compliance, and architecture requirements into practical automated controls while enhancing scalability, resilience, developer experience, and release readiness.
Skill Requirements
Primary Skills (Must Have Skills)
5+ years of experience in DevOps, platform engineering, cloud engineering, software engineering, MLOps, or a related role.
Hands-on experience designing and operating CI/CD pipelines for cloud-native applications.
Strong Azure experience with infrastructure-as-code, automated deployments, environment management, and secure software delivery.
Practical experience with AI, GenAI, LLM applications, MLOps, or LLMOps workflows.
Understanding of RAG, prompt management, embeddings, vector databases, AI orchestration, and evaluation workflows.
Hands-on development capability including user stories, bug fixes, code reviews, troubleshooting, and sprint delivery.
Strong scripting and automation skills using Python, PowerShell, Bash, or similar languages.
Experience with GitHub Actions or Azure DevOps, Terraform or Bicep, Docker, .
