We are seeking a senior engineer to design and deliver Generative AI and Agentic AI solutions on Google Cloud. This role involves building, prototyping, and solutioning AI solutions, working closely with product managers and AI engineers, and staying current with emerging AI technologies.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Job Title: AI Solution Architect (Google Cloud)
LocatioN: Fully Remote(US Based)
Job Type: W2
Role Summary
We are seeking a highly hands-on AI Solution Architect to design and deliver Generative AI and Agentic AI solutions on Google Cloud. This role is ideal for a senior engineer ready to step into an architecture role while remaining deeply involved in building, prototyping, and solutioning.
You will work closely with product managers and AI engineers to automate business processes using agentic AI and continuously evaluate emerging AI technologies—both within and beyond Google Cloud.
Key Responsibilities
- Design and implement AI solutions on Google Cloud, leveraging Vertex AI, Gemini, BigQuery, AlloyDB, and Cloud Storage
- Build and evaluate Generative AI and Agentic AI architectures
- Stay current with the evolving AI landscape and apply new capabilities to real business use cases
- Lead POCs and evaluate GCP-native vs third-party AI solutions
- Ensure solutions align with security, governance, and enterprise architecture standards
- Communicate technical recommendations and trade-offs to stakeholders
- Strong hands-on Google Cloud experience
- Proven expertise in Vertex AI and Gemini models
- Experience with GenAI and Agentic AI frameworks
- Senior engineering background with architecture exposure
- Curious, continuously learning, and solution-oriented mindset
- Ability to work independently in a fully remote environment
- Hands-on engineer ready to grow into a solution architect role
- Comfortable working in fast-changing AI environments
- Able to think beyond one platform to solve business problems
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