Senior AI Architect Location:Â Denver, CO OR Minneapolis, MN (Hybrid) Duration:Â 12 Month contract to hire Pay:Â $125/hr W2 ONLY, NO C2C Quick summary:Â The Senior AI Architect designs and delivers scalable, secure AI solutions aligned to enterprise strategy and standards. This role combines hands on technical leadership with architectural guidance, partnering closely with data, platform, security, and application teams to integrate AI capabilities into core business systems. The Senior AI Architect contributes to solution design, supports implementation teams, and helps mature enterprise AI platforms, patterns, and governance. Core AI & ML Skills
Designing and implementing production AI and GenAI solutions (including LLM‑based systems)
Hands‑on experience with AI model development, prototyping, and deployment
Understanding of ML lifecycle concepts including training, inference, evaluation, and iteration
AI Architecture & Platform Design
Architecture design for scalable, reliable AI platforms and services
Applying AI architecture patterns, standards, and guardrails aligned to enterprise strategy
Experience integrating AI capabilities into existing enterprise systems and workflows
Engineering & Implementation Skills
Strong collaboration with engineering teams to design, build, and optimize AI solutions
Ability to move from conceptual design to working implementations (hands‑on delivery focus)
Familiarity with cloud‑native architectures and modern development practices
Data & Integration Foundations
Solid understanding of data pipelines, data platforms, and data quality considerations supporting AI workloads
Experience designing AI solutions that depend on enterprise data assets and analytics platforms
Governance, Risk & Enterprise Alignment
Applying architectural standards, patterns, and principles consistently across solutions
Awareness of AI risks including model performance, bias, explainability, and operational robustness
Ability to align AI solutions to enterprise technology strategy and business outcomes
Communication & Collaboration
Translating complex AI concepts into clear architecture guidance for delivery teams and stakeholders
Partnering effectively across data, platform, security, and application teams
Contributing to roadmap discussions and technical decisions without owning full domain governance (as Principal would)