Senior AI Platform Architect for Enterprise AI

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

Job summary

Robotics Technologies in Edina, MN is seeking a Principal AI Architect to define enterprise AI DLC standards, establish architecture blueprints, and oversee governance for AI pilot programs. You will lead the design of agentic components, LLM-enabled workflows, and scalable AI platforms across distributed engineering teams.

The role emphasizes greenfield and brownfield AI modernization, with a focus on privacy, security, and regulatory compliance within healthcare/data environments.

Qualifications

• 7+ years of enterprise software architecture and AI/ML systems experience.
• 5+ years owning and governing the AI Development Lifecycle (AI DLC).
• Proven experience delivering Greenfield AI initiatives and Brownfield AI modernization programs.
• 2+ years delivering production-scale LLM and Agentic AI solutions.
• Experience with multi-agent orchestration, context management, and tool integration.
• Strong communication, stakeholder-management skills, and governance in regulated environments.

Responsibilities

• Define enterprise AI DLC frameworks, governance controls, lifecycle stages, and quality gates.
• Lead architecture governance reviews for AI initiatives throughout their lifecycles.
• Design platform architectures for LLM-enabled workflows, agentic systems, and RAG pipelines.
• Architect enterprise data models including memory architectures and knowledge graphs.
• Partner with security, clinical, data, product, and business stakeholders to satisfy regulatory and operational requirements.

Skills

AI Architecture

Enterprise Architecture

LLM Design

AI DLC

Governance

Observability

HIPAA

Team Leadership

Tools

RAG Pipelines

Vector Databases

CI/CD Pipelines

Evaluation Frameworks

Job description

Robotics Technologies in Edina, MN is seeking a Principal AI Architect to define enterprise AI DLC standards, establish architecture blueprints, and oversee governance for AI pilot programs. You will lead the design of agentic components, LLM-enabled workflows, and scalable AI platforms across distributed engineering teams.

The role emphasizes greenfield and brownfield AI modernization, with a focus on privacy, security, and regulatory compliance within healthcare/data environments.