As Principal / Distinguished Architect for Google Cloud AI, you will spearhead the design, delivery, and governance of next-generation AI and Generative AI solutions leveraging the Google AI stack.
Roles & Responsibilities
AI & Cloud Architecture Leadership
• Own end-to-end architecture for AI, GenAI, and data-driven platforms on Google Cloud Platform.
• Define enterprise reference architectures, blueprints, and guardrails aligned with Google Cloud best practices.
• Lead critical architecture decisions for large-scale, mission-critical AI platforms across multiple customer programs.
Generative AI, Gemini & Agentspace
• Architect and govern GenAI solutions using Vertex AI (Gemini models, Model Garden, Extensions), Google Agentspace, and Vertex AI Search & Conversation.
• Design advanced GenAI patterns including Retrieval-Augmented Generation (RAG), agentic workflows, multi-agent orchestration, and enterprise system integration.
• Define Responsible AI, safety, and governance frameworks aligned to Google AI principles.
Google AI & Data Platform Architecture
• Lead scalable AI and data platform architectures utilizing BigQuery, BigLake, Cloud Storage, Dataflow, Dataproc, Pub/Sub, AlloyDB, Spanner.
• Architect secure, multi-project GCP environments with solid network isolation and identity controls.
• Ensure high availability, resiliency, and performance for AI workloads.
MLOps, LLMOps & Engineering Excellence
• Define and enforce MLOps / LLMOps standards on GCP, including Vertex AI Pipelines, CI/CD, model registry, versioning, and evaluation.
• Establish best practices for model quality, bias detection, drift monitoring, LLM evaluation, hallucination mitigation, cost governance, and quota management.
• Security, Privacy & Responsible AI
• Architect secure AI systems with focus on IAM, service accounts, workload identity federation, VPC Service Controls, CMEK, and data encryption.
People & Technical Leadership
• Lead and mentor senior AI architects, principal en
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