3M
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Architect - Agentic AI
role at
3M .
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.
Key Responsibilities
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) 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 evals, telemetry and tracing, incident response, and FinOps practices to achieve defined SLAs for reliability, latency, and cost.
Qualifications Minimum required qualifications:
Master’s degree in computer science, applied mathematics, engineering, or a science field.
Five years of experience in AI engineering, with at least two years in Generative AI, AI‑driven automation, or RPA in a private, public, government, or military environment.
Additional qualifications that could help you succeed:
Advanced proficiency in Python and modern software engineering practices, with agent frameworks such as LangGraph, AWS Strands, or MS AutoGen.
Experience with RAG/memory architecture and secure integration with SAP, Salesforce, or 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 with 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 AgentCore, Azure AI Agent Service), routing across multiple model providers.
Familiarity with agent evaluation and risk controls, including offline/online task‑based evaluations and guardrail/policy engines.
Working knowledge of enterprise‑scale integration and operations (Mulesoft, SAP BTP), workflow orchestration (Power Platform, Airflow), event streaming (Kafka, Kinesis), and FinOps techniques (caching, batching, rate limiting).
Work Location Onsite in Maplewood, MN.
Travel Up to 10% domestic and international travel may be required.
Compensation Expected compensation range: $188,251 - $230,084 (base pay plus variable incentive pay, if eligible). Benefits include medical, dental, vision, health savings, and retirement plans.
EEO Statement 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.
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Architect - Agentic AI
role at
3M .
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.
Key Responsibilities
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) 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 evals, telemetry and tracing, incident response, and FinOps practices to achieve defined SLAs for reliability, latency, and cost.
Qualifications Minimum required qualifications:
Master’s degree in computer science, applied mathematics, engineering, or a science field.
Five years of experience in AI engineering, with at least two years in Generative AI, AI‑driven automation, or RPA in a private, public, government, or military environment.
Additional qualifications that could help you succeed:
Advanced proficiency in Python and modern software engineering practices, with agent frameworks such as LangGraph, AWS Strands, or MS AutoGen.
Experience with RAG/memory architecture and secure integration with SAP, Salesforce, or 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 with 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 AgentCore, Azure AI Agent Service), routing across multiple model providers.
Familiarity with agent evaluation and risk controls, including offline/online task‑based evaluations and guardrail/policy engines.
Working knowledge of enterprise‑scale integration and operations (Mulesoft, SAP BTP), workflow orchestration (Power Platform, Airflow), event streaming (Kafka, Kinesis), and FinOps techniques (caching, batching, rate limiting).
Work Location Onsite in Maplewood, MN.
Travel Up to 10% domestic and international travel may be required.
Compensation Expected compensation range: $188,251 - $230,084 (base pay plus variable incentive pay, if eligible). Benefits include medical, dental, vision, health savings, and retirement plans.
EEO Statement 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.
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