AI Platform Manager (ML, Generative, Agentic AI)

Job Description:

Job Title: AI Platform Manager

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 experience to a 3M career.

The Impact You’ll Make in this Role

As the AI Platform Manager, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:

3M is seeking a talented and experienced AI Platform Manager to join our team.  As a key member of our organization, you will be responsible for implementing and optimizing MLOps pipelines and frameworks, leveraging your expertise in cloud platforms and DevOps automation tools. The ideal candidate will possess strong collaboration, communication, leadership, and hands-on technical skills to drive the success of our projects.

As an AI Platform Manager, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:

• Own the enterprise AI platform roadmap—define reference architectures, technology standards, and migration paths that align with 3M’s business goals and cloud-first posture.
• Engineer and operate the core platform stack (LLMs, infrastructure, Serverless orchestration, feature stores, vector DBs, model registries) to deliver high-availability, low-latency AI services at global scale.
• Deploy scalable, full-stack applications and Agentic AI tools integrated seamlessly within existing enterprise systems.
• Build and govern end-to-end MLOps / LLMOps pipelines with baked-in CI/CD, automated testing, drift-monitoring, lineage, and one-click rollback for quantitative models, LLMs, and agentic workflows.
• Enforce platform guardrails for security, compliance, FinOps, and observability—own policies for data privacy, model governance, cost attribution, and reliability SLAs across all environments.
• Lead cross-functional squads and external partners—mentor engineers, unblock product teams, and act as the escalation point for high-impact incidents and post-mortems.
• Drive continuous platform innovation—evaluate emerging tooling, run proof-of-value pilots, and productionize the winners to keep the stack future-ready.
• 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.

In this role, you will play a crucial part in driving the success of our Generative AI projects, leveraging your expertise and leadership skills to deliver innovative solutions and contribute to the advancement of AI technology.

• Own and evolve the AI/ML DevSecOps backbone – design, implement, and continuously optimize CI/CD and IaC pipelines that deliver models, data services, and agentic workflows into production with zero-touch releases.
• Integrate everything, break nothing – orchestrate cross-cloud APIs, event buses, and automation frameworks so data scientists ship features without waiting on ops tickets.
• Integrate and coordinate various AI services and components using APIs, CI/CD pipelines, and automation frameworks.
• Establish an end-to-end framework for model observability, infrastructure performance monitoring, and FinOps.
• Research and evaluate new technologies and frameworks for MLOps and automation.

Your Skills and Expertise

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

• Bachelor's degree or higher in Computer Science or Engineering (completed and verified prior to start)
• Five (5) years of experience in AI platform engineering/DevSecOps in 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, and Terraform.

Additional qualifications that could help you succeed even further in this role include:

• Master’s degree in computer science, Engineering, or a related field from an accredited institution
• Deep fluency in one hyperscale cloud (AWS or Azure) and working knowledge of the other—you can diagram Landing Zones, IAM, and VPC peering.
• Experience with API Operations, API Gateways, RESTful APIs, message brokers, and event-driven architectures
• Production-grade AI/ML toolkit mastery—TensorFlow, PyTorch, Scikit-learn, plus emerging LLMOps stacks (LangChain, Semantic Kernel) and vector databases (OpenSearch, Neptune, PgVector).
• Excellent communication and collaboration skills

Work location:

• Hybrid Eligible (Job Duties allow for some remote work but require travel to Maplewood, MN at least 4 days per week)

Travel: May include up to 10% international

Relocation Assistance: May be authorized

Supporting Your Well-being 

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. 

Chat with Max

For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers. 

Applicable to US Applicants Only:The expected compensation range for this position is $188,251 - $230,084, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., 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.). Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/.

Good Faith Posting Date Range 07/15/2025 To 08/14/2025 Or until filled

All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.

Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.

Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.

Safety is a core value at 3M. All employees are expected to contribute to a strong EHS culture by following safety policies, identifying hazards, and engaging in continuous improvement.

Pay & Benefits Overview: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/

3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

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