Google AI Architect
Overview
Lead enterprise AI platform development on Google Cloud focusing on scalability and security. Architect and deliver AI solutions using Vertex AI and Gemini while optimizing for performance and cost.
What You'll Do5
- 1Architect and Design: Design and development of enterprise-grade AI applications and platforms with a focus on scaling AI solutions for production. This includes defining the technical architecture and selecting appropriate technologies.
- 2LLM and AI Integration: Integrate and fine-tune Large Language Models and other AI/ML models into enterprise applications. Develop strategies for model deployment, inference, and monitoring.
- 3Enterprise Architecture: Collaborate with enterprise architects to ensure AI solutions align with the broader company's technical strategy and governance standards.
- 4Cloud and GenAI Native Development: Design and deploy applications using Cloud Native principles on a hyperscaler platform. Leverage containers, serverless functions, and managed databases.
- 5Security & Governance: Ensure security of AI/ML systems by addressing vulnerabilities like data privacy, model poisoning, and adversarial attacks.
Requirements5
- 1Bachelor's degree in Computer Science Engineering or related field
- 26+ years experience as a Software or Solution Architect
- 35+ years hands-on with Google Cloud including 2+ end-to-end enterprise implementations
- 42+ years building containerized workloads on GKE with autoscaling and monitoring
- 52+ years implementing CI/CD and DevSecOps with Cloud Build or Jenkins
Salary Insight
$122 - $240k per year
Location
Required Skills
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