Architect - Agentic AI

Job Title: Architect - Agentic AI

This role sets the architecture, standards, and operating model for enterprise agent systems that plan, reason, and act via secure interfaces.

• Own the reference architecture and roadmap for agentic AI, defining standards for multi‑agent patterns, tool/function interfaces, RAG/memory design, orchestration, security, and environment segregation.
• Translate business objectives into a prioritized portfolio of agentic use cases; mentor engineers and data scientists; and communicate architecture decisions, risks, and value realization to executive stakeholders.
• Lead the design and delivery of production‑grade agentic solutions that safely execute actions in enterprise systems (e.g., SAP, Salesforce, Snowflake etc), with CI/CD, automated testing, rollback, and human‑in‑the‑loop controls.
• Establish and enforce governance, safety, and compliance controls—including prompt injection/jailbreak defenses, policy guardrails, data classification/residency, and PHI/PII handling—in partnership with Security, Legal, and Risk.
• Implement evaluation, observability, and operations at scale: task‑based evaluations, telemetry and tracing, incident response, and Fin Ops practices to achieve defined SLAs for reliability, latency, and cost.

• Master’s in computer science, applied mathematics, engineering, or a science field (completed and verified prior to start).
• Five (5) years of experience in AI engineering, with at least two (2) years in Generative AI, AI‑driven automation or RPA in a private, public, government or military environment.

• Advanced proficiency in Python and modern software engineering practices, including agent frameworks such as Lang Graph, AWS Strands, or MS Auto Gen.
• Experience with RAG/memory architecture (chunking, embeddings, vector DBs, enterprise search/knowledge graphs) and secure integration with SAP/Salesforce/Snowflake.
• Strong command of cloud architecture and governance on AWS or Azure, including network isolation, identity and secrets management, and data‑protection controls; practical experience implementing AI safety and compliance (prompt‑injection, jailbreak mitigation, PHI/PII handling, GDPR/SOC
  2).
• Hands‑on experience with cloud agent platforms (e.g., AWS Bedrock Agent Core, Azure AI Agent Service/AI foundry) and routing across multiple model providers.
• Familiarity with agent evaluation and risk controls, including offline/online task‑based evaluations (e.g., Ragas, Deep Eval), guardrail/policy engines, prompt‑injection/jailbreak mitigation, and PHI/PII protection.
• Working knowledge of enterprise‑scale integration and operations (Mulesoft, SAP BTP) workflow orchestration (Power Platform, Airflow), event streaming (Kafka/Kinesis), and Fin Ops techniques (caching, batching, rate limiting).

Work location: Onsite in Maplewood, MN

Travel: May include up to 10% domestic and international

Relocation Assistance: Is Authorized

Legal authorization: Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Compensation range: $188,251 - $230,084 (base pay plus variable incentive pay, if eligible). Additional benefits include Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits.

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.

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.