Senior AI Platform Architect — Scale & Govern AI Delivery

Cloud Analytics Technologies, LLC

Edina (MN)

On-site

USD 150,000 - 210,000

Full time

3 hours ago
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Job summary

Cloud Analytics Technologies, LLC seeks an Associate Principal, AI Optimization & Delivery – Solution Architecture to lead architectural design for AI-enabled workflows and agentic systems. You will align the AI stack with enterprise architecture, govern sandbox-to-production processes, and guide teams across engineering and security to deliver scalable AI solutions.

The role combines hands-on design with systems thinking, driving standards, risk assessment, and governance across HIPAA-aware

Qualifications

  • 10+ years in enterprise software architecture or AI platforms.
  • 5+ years delivering LLM orchestration in production.
  • Translate regulatory and business requirements into platform capabilities.
  • Experience with HIPAA/PHI data handling preferred.

Responsibilities

  • Establish architectural standards for LLM-enabled workflows and multi-agent orchestration.
  • Define hybrid patterns balancing LLM-based judgment with deterministic code for compliance.
  • Architect initial platform layer including shared libraries, agent templates, and RAG pipelines.
  • Establish contribution models and reusable patterns for engineering squads.
  • Define AIBOM approach with provenance tracking and governance.
  • Establish observability for telemetry, reasoning traceability, and auditing.
  • Design routing to optimize latency, cost, and workload distribution between SLMs and LLMs.
  • Serve as technical design authority for delivery pods and blueprints.

Skills

LLM orchestration
Agent-based systems
Enterprise architecture
Systems thinking
Stakeholder collaboration

Job description

Cloud Analytics Technologies, LLC seeks an Associate Principal, AI Optimization & Delivery – Solution Architecture to lead architectural design for AI-enabled workflows and agentic systems. You will align the AI stack with enterprise architecture, govern sandbox-to-production processes, and guide teams across engineering and security to deliver scalable AI solutions.

The role combines hands-on design with systems thinking, driving standards, risk assessment, and governance across HIPAA-aware

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