Hybrid Senior AI Platform Engineer

at Medtronic

• Job title: Senior AI Platform Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Terraform
• Location requirements: Hybrid, Pune, India

About the role

• Senior AI Platform Engineer developing and maintaining AI platforms at Medtronic, transforming diabetes management through innovative technologies and solutions.

Responsibilities

• develop and maintain robust, scalable data pipelines and infrastructure automation workflows
• implement and manage CI/CD pipelines for automated infrastructure deployment, testing, and validation
• deploy and manage Databricks LLM Runtime or custom Hugging Face models
• integrate LangSmith for tracing, debugging, and evaluating LLM chains
• design and implement stateful agentic applications using LangGraph
• configure and manage AI Gateways
• manage and optimize Cloud Infrastructure costs
• setup infrastructure observability and performance dashboards
• establish agent-specific monitoring
• develop and manage Terraform or CloudFormation modules
• implement and enforce cloud security policies
• administer Databricks Workspaces and clusters
• enforce DevSecOps practices
• coordinate cloud software releases and vulnerability remediations
• automate deployment and scaling of agentic AI components
• perform incident response and disaster recovery planning
• collaborate with cross-functional teams to gather and implement infrastructure and data requirements

Requirements

• strong background in Platform Engineering practices
• extensive experience in designing and creating AI Platform
• experience with GitHub, AWS, and Databricks
• experience in implementing and managing CI/CD pipelines using GitHub Actions and GitLab CI/CD
• deployment and management of Databricks LLM Runtime or Hugging Face models
• integration of LangSmith for tracing, debugging, and evaluating LLM chains
• design and implementation of stateful agentic applications using LangGraph
• configuration and management of AI Gateways
• management and optimization of Cloud Infrastructure costs
• setup of infrastructure observability and performance dashboards using AWS CloudWatch
• developing and managing Terraform or CloudFormation modules
• implementing cloud security policies and IAM roles
• administering Databricks Workspaces, clusters, and access controls
• enforcing DevSecOps practices for infrastructure-as-code
• coordinating cloud software releases, patching schedules, and vulnerability remediations
• incident response, disaster recovery planning, and post-mortem analysis
• collaborating with cross-functional teams

Benefits

• competitive Salary and flexible Benefits Package
• short-term incentive called the Medtronic Incentive Plan (MIP)