Architect - Agentic Ai

3M Company

Maplewood, MN, US
Base: $188,251 - $230,084; bonus/equity: variable ...
On-site in maplewood, mn
Agentic ai architecture and roadmap
Multi-agent patterns and interfaces
Rag/memory design and orchestration
3M is seeking an Agentic AI Architect to lead the architecture and operational models for enterprise agent systems, focusing on automation and decision support. The ideal candidate will have a strong background in AI engineering, particularly in generative AI and automation, and will be responsible for mentoring teams and ensuring security and compliance in agentic solutions

Job Summary

  • We are seeking a highly skilled and experienced Agentic AI Architect to set the architecture, standards, and operating model for enterprise agent systems that plan, reason, and act via secure interfaces.
  • You will lead a cross-functional team, define reference designs for multi-agent workflows, memory, orchestration, and human oversight, and mentor teams on modern engineering.
  • You will accelerate automation and decision support by delivering scalable, reliable, and compliant agent services integrated with core platforms.

Matching Summary

Match Score: 85

3M is seeking an Agentic AI Architect to lead the architecture and operational models for enterprise agent systems, focusing on automation and decision support. The ideal candidate will have a strong background in AI engineering, particularly in generative AI and automation, and will be responsible for mentoring teams and ensuring security and compliance in agentic solutions.

Salary

Base: $188,251 - $230,084; Bonus/Equity: variable incentive pay, if eligible; Benefits: Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits

Skills & Requirements

Must-have

  • Agentic AI architecture and roadmap
  • Multi-agent patterns and interfaces
  • RAG/memory design and orchestration
  • Secure integration with enterprise systems
  • Governance, safety, and compliance controls
  • Evaluation, observability, and operations at scale

Nice-to-have

  • Modern engineering practices
  • Scalable and reliable agent services
  • Human oversight and controls
  • Cost-effective FinOps practices

Key Requirements

  • Master's in computer science, applied mathematics, or engineering field
  • Five (5) years of experience in AI engineering
  • Two (2) years in Generative AI, AI driven automation or RPA

Work Rights

Must be legally authorized to work in country of employment without sponsorship

Tailored Resume

Cover Letter