Description

What's the Job?

• Design Vertex AI solutions that support real-world GenAI use cases.
• Define Retrieval-Augmented Generation (RAG) patterns to improve accuracy and relevance.
• Establish guardrails to support safe, reliable, and compliant GenAI behavior.
• Lead architecture reviews and guide technical decisions across engineering teams.
• Design integrations and define LLMOps standards, including reusable patterns and operational practices.

What's Needed?

• GenAI Architecture experience with a strong understanding of RAG and guardrails.
• Cloud Architecture experience, specifically building solutions on Google Cloud.
• Stakeholder management skills and the ability to collaborate effectively across teams.
• Agile and SAFe familiarity, with a focus on clear delivery and continuous improvement.
• Strong documentation and delivery excellence, including mentoring engineers and creating reusable architecture patterns

Key Skills

Education

Any Graduate