Generative AI Solutions Architect - Google Cloud Platform

Job 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