Medtronic - Senior AI Platform Engineer

Description :

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all.

Youll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the Life :

Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally.

Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes.

Were a mission-driven leader in medical technology and solutions with a legacy of integrity and innovation, join our new Minimed India Hub as Senior AI Platform Engineer.

This candidate will have a strong background in Platform Engineering practices, with extensive experience in designing and creating AI Platform.

Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements.

This separation provides our team with a bold opportunity to unleash our potential, enabling us to operate with greater speed and agility.

As a separate entity, we anticipate leveraging increased investments to drive meaningful innovation and enhance our impact on patient care.

Responsibilities may include the following and other duties may be assigned :

• Develop and maintain robust, scalable data pipelines and infrastructure automation workflows using GitHub, AWS, and Databricks.
• Implement and manage CI / CD pipelines using GitHub Actions and GitLab CI / CD for automated infrastructure deployment, testing, and validation.
• Deploy and manage Databricks LLM Runtime or custom Hugging Face models within Databricks notebooks and model serving endpoints.
• Integrate LangSmith for tracing, debugging, and evaluating LLM chains and agentic workflows, including setting up datasets for testing and monitoring production runs.
• Design and implement stateful agentic applications using LangGraph, including graph-based workflows for multi-actor agents with tool integrations, memory management, and human-inthe-loop controls.
• Configure and manage AI Gateways (e.g , Cloudflare AI Gateway or equivalent) to handle routing, caching, rate limiting, and security for agentic AI API calls, ensuring efficient interactions with external tools and LLMs.
• Manage and optimize Cloud Infrastructure costs, usage, and performance through tagging policies, right-sizing EC2 instances, storage tiering strategies, and auto-scaling.
• Set up infrastructure observability and performance dashboards using AWS CloudWatch for real-time insights into cloud resources and data pipelines.
• Establish agent-specific monitoring, such as detecting workflow bottlenecks, agent decision traces, or failure recovery in LangGraph / LangSmith-integrated systems.
• Develop and manage Terraform or CloudFormation modules to automate infrastructure provisioning across AWS accounts and environments.
• Implement and enforce cloud security policies, IAM roles, encryption mechanisms (KMS), and compliance configurations.
• Enforce security best practices for agentic platforms, including API key rotation in AI Gateways, prompt injection prevention, and access controls for agent-tool interactions.
• Administer Databricks Workspaces, clusters, access controls, and integrations with Cloud Storage and identity providers.
• Enforce DevSecOps practices for infrastructure-as-code, ensuring all changes are peer reviewed, tested, and compliant with internal security policies.
• Coordinate cloud software releases, patching schedules, and vulnerability remediations using Systems Manager Patch Manager.
• Automate deployment and scaling of agentic AI components, such as triggering LangGraph workflows via event-driven architectures or integrating with serverless functions.
• Perform incident response, disaster recovery planning, and post-mortem analysis for operational outages.
• Collaborate with cross-functional teams including Data Scientists, Data Engineers, and other stakeholders to gather and implement infrastructure and data requirements.
• Work with AI teams to define requirements for agentic platforms, such as integrating custom tools into LangGraph agents or optimizing gateway configurations for high-throughput agent queries.

Physical Job Requirements :

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.

Benefits & Compensation :

Medtronic offers a competitive Salary and flexible Benefits Package.

A commitment to our employees lives at the core of our values.

We recognize their contributions.

They share in the success they help to create.

We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

About Medtronic :

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.

Our Mission to alleviate pain, restore health, and extend life unites a global team of 95,000+ passionate people.

We are engineers at heart putting ambitious ideas to work to generate real solutions for real people.

From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves.

We have the talent, diverse perspectives, and guts to engineer the extraordinary.

Learn more about our business, mission, and our commitment to diversity here.

(ref : hirist.tech)