Lead Enterprise AI Platform Architect

Robotics Technologies; Edina (MN); On-site; USD 84,000 - 120,000; Full time

Job summary

Client seeks a Principal AI Architect in Edina, MN to serve as the technical cornerstone for AI Optimization & Delivery. The role leads design authority for enterprise-scale AI programs, establishing architecture, standards, governance, and operating models for holistic AI adoption across distributed teams.

Required expertise includes AI DLC governance, greenfield and brownfield AI programs, and hands-on leadership of AI lifecycle activities from data prep to deployment and monitoring.

Qualifications

• 5+ years of hands-on experience owning and governing the complete AI Development Lifecycle (AI DLC).
• 2+ years delivering production-scale LLM and Agentic AI solutions.
• Experience delivering Greenfield AI initiatives and Brownfield modernization programs.
• Hands-on experience with multi-agent orchestration, context management, tool integration, agent frameworks.
• Strong systems-thinking with governance, risk, and compliance awareness.

Responsibilities

• Establish enterprise architecture standards for LLM-enabled workflows, agentic systems, multi-agent orchestration, and AI-powered apps.
• Define and govern architecture standards across the AI DLC from experimentation to production and optimization.
• Design hybrid architectures balancing LLM reasoning with deterministic components for compliance-sensitive processes.
• Lead platform component design: shared AI libraries, reusable agent templates, RAG pipelines, vector databases, hybrid search, prompt management.
• Define enterprise AI BOM with model provenance, risk assessments, version governance, licensing, and compliance controls.

Skills

AI Architecture

Enterprise Software Architecture

Platform Architecture

Data Architecture

Large-scale Delivery

Tools

LLMOps

MLOps

Observability Platforms

Multi-agent orchestration

Job description

Client seeks a Principal AI Architect in Edina, MN to serve as the technical cornerstone for AI Optimization & Delivery. The role leads design authority for enterprise-scale AI programs, establishing architecture, standards, governance, and operating models for holistic AI adoption across distributed teams.

Required expertise includes AI DLC governance, greenfield and brownfield AI programs, and hands-on leadership of AI lifecycle activities from data prep to deployment and monitoring.