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Generative AI Solutions Architect - Google Cloud Platform
Quick overview
SeniorityMid Senior
Work modeRemote
LocationUnited States
Google CloudLLMGenerative AI
Job description
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
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
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