Lead AI Platform Engineer (DevOps, MLOps)

3M • Maplewood, MN

2d • Onsite

About The Position

​​Lead AI Platform Engineer (DevOps, MLOps) ​ Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers. ​ ​ This position provides an opportunity to transition from other private, public, government or military e xperience to a 3M career. ​ The Impact You'll Make in this Role 3M is seeking a talented and experienced Lead AI Platform Engineer to join our team . As a key member of our organization, you will be responsible for implementing and optimizing LLMOps , MLOps pipelines and frameworks, leveraging your expertise in cloud platforms and DevOps automation tools. The ideal candidate will possess strong collaboration, communication, leadership, and technical skills to drive the success of our projects. As a Lead AI Platform Engineer , you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: Lead the design and implementation of AI/ML architecture, ensuring optimal orchestration, deployment, and performance of models. Deploy scalable, full-stack applications and Agentic AI solutions integrated seamlessly within existing enterprise systems. Design and implement efficient MLOps pipelines for quantitative ML models, Large Language Models (LLMs), ensuring robust deployment, observability, and maintenance. Establish best practices for AI orchestration, application development, and MLOps , promoting reliability and scalability. Provide technical leadership and support cross-functional teams by troubleshooting complex issues and driving continuous innovation initiatives. Supporting cross-functional teams by providing technical expertise , troubleshooting issues, and driving continuous improvement initiatives. In this role, you will play a crucial part in driving the success of our Gen erative AI projects, leveraging your expertise and leadership skills to deliver innovative solutions and contribute to the advancement of AI technology.

Requirements

• Bachelor's degree or higher in Computer Science or Engineering (completed and verified prior to star)
• Four (4) years of experience in platform engineering/DevOps i n a private, public, government or military environment.
• Two (2) years of experience in MLOps , automation, or DevOps using tools such as Docker, GitHub Actions, Kubernetes, Airflow, MLflow or other open-source technologies.
• Two (2) years of experience in Infrastructure as Code tools like Bicep, Cloud formation, Code build, Terraform .
• Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Nice To Haves

• Master's degree in computer science , Engineering, or related field from an accredited institution.
• Strong knowledge of AWS or Azure Cloud platform.
• Experience with API Operations, API Gateways, RESTful APIs, message brokers, and event-driven architectures.
• Familiarity with NLP & AI concepts and frameworks, such as TensorFlow, PyTorch , or Scikit-learn.
• Excellent communication and collaboration skills.

Responsibilities

• Lead the design and implementation of AI/ML architecture, ensuring optimal orchestration, deployment, and performance of models.
• Deploy scalable, full-stack applications and Agentic AI solutions integrated seamlessly within existing enterprise systems.
• Design and implement efficient MLOps pipelines for quantitative ML models, Large Language Models (LLMs), ensuring robust deployment, observability, and maintenance.
• Establish best practices for AI orchestration, application development, and MLOps , promoting reliability and scalability.
• Provide technical leadership and support cross-functional teams by troubleshooting complex issues and driving continuous innovation initiatives.
• Supporting cross-functional teams by providing technical expertise , troubleshooting issues, and driving continuous improvement initiatives.
• Design, implement, and optimize DevOps pipelines for efficient deployment and monitoring of AI models.
• Develop and maintain robust and scalable solutions for the GenAI platform.
• Integrate and coordinate various AI services and components using APIs, CI/CD pipelines, and automation frameworks.
• Establish end to end framework for model observability, infrastructure performance monitoring and FinOps.
• Research and evaluate new technologies and frameworks for MLOps and automation.

Benefits

• 3M offers many programs to help you live your best life - both physically and financially.
• To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.
• Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees