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3M · 2 weeks ago

Architect - Agentic AI

Minnesota, United States

Full-time

Onsite

Senior Level

$188K/yr - $230K/yr

5+ years exp

3M is a global organization that values collaboration and innovation among its employees. They are seeking a highly skilled Agentic AI Architect to establish the architecture and operating models for enterprise agent systems, while leading cross-functional teams and ensuring compliance and security in AI solutions.

AutomotiveCleaning ProductsConsultingElectronicsEnterprise SoftwareManufacturing

No H1B

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 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 evals, telemetry and tracing, incident response, and FinOps practices to achieve defined SLAs for reliability, latency, and cost

Qualification

AI engineeringGenerative AIPythonCloud architectureRAG/memory architectureCloud agent platformsEnterprise-scale integrationMentoringCommunicationCollaboration

Required

Master's in computer science, applied mathematics, or engineering field 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 a Generative AI, AI driven automation or RPA in a private, public, government or military environment

Preferred

Advanced proficiency in Python and modern software engineering practices + agent frameworks such as LangGraph, AWS Strands or MS AutoGen

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 encompassing network isolation, identity and secrets management, and data-protection controls; practical experience implementing AI safety and compliance (prompt-injection and jailbreak mitigation, PHI/PII handling, GDPR/SOC 2)

Hands-on experience with cloud agent platforms (e.g., AWS Bedrock AgentCore, 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, DeepEval), 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 FinOps techniques (caching, batching, rate limiting)