Generative AI Solutions Architect - Google Cloud Platform

Job Title: Generative AI Solutions Architect - Google Cloud Platform

Remote - Contract (Candidate must be flexible to travel to Minneapolis, MN when required)

Primary Skills: Google Cloud Platform

JJob Requirements Location: Remote (Candidate must be flexible to travel to Minneapolis, MN when required)

Role: AI Solutions Architect (Agentic Systems) or Generative AI Solutions Architect.

Primary Responsibilities: Solution Implementation Delivery

* Build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools in client environments

* Implement integrations between AI models, APIs, and enterprise healthcare systems

* Translate defined solution designs into high-quality, production-ready code

* Contribute to end-to-end delivery by supporting development, testing, and deployment activities Hands-on Engineering

* Work with distributed systems and cloud platforms to support scalable, reliable deployments

* Assist with data preparation, prompt configuration, and model integration for AI-driven solutions

* Support technical discussions and working sessions with client stakeholders

* Help execute on defined project plans, timelines, and deliverables

* Contribute to iterative development cycles, incorporating client and team feedback Collaboration & Translation

* Translate technical requirements into actionable development tasks

* Support alignment between technical implementation and client expectations Documentation & Knowledge Transfer

* Document solution components, integration points, and deployment processes

* Support knowledge transfer to client technical teams to enable adoption and sustainability

* Contribute to reusable implementation patterns, assets, and playbooks Success Measures

* Demonstrates strong execution in translating requirements into working systems

* Communicates clearly within teams and supports client delivery activities

* Builds capability in both technical implementation and client engagement over time

Required Qualifications:

• * Bachelor's or Master degree in Computer Science, Engineering, Data Science, or related field
• * Demonstrated experience working in client-facing engagements, including partnering directly with stakeholders
• * Experience working with APIs, data pipelines, or distributed systems
• * Familiarity with cloud platforms
• * Demonstrated ability to work effectively in client-facing delivery environments
• * Demonstrated ability to execute against defined requirements and evolving priorities

Preferred Qualifications:

• * Master's degree in a technical discipline
• * Demonstrated solid execution focus with attention to detail and code quality
• * Willingness to take ownership of assigned components and deliver reliably
• * Continuous learning mindset, particularly in AI and emerging technologies Work Experience: 7-10 Years