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 engineers, and technical leaders embedded within customer environments.
- Establish architecture review boards and AI communities of practice.
- Drive consistency of architecture, coding standards, and AI governance across accounts.
- Coach leaders on executive communication, technical depth, and customer advisory skills.

Technical Expertise (Must-Have)

- Expert-level Google Cloud Platform architecture including multi-project design, shared VPCs, networking, and security.
- Deep proficiency in AI/ML and Generative AI technologies: Vertex AI (Gemini models, custom model training, Feature Store, Pipelines, Model Registry), Agentspace, agent design and orchestration, tool integration.
- Strong experience in vector search (Vertex AI Vector Search, BigQuery vector search), data lakes and analytics (BigQuery, BigLake, Cloud Storage),



streaming and event-driven systems (Pub/Sub, Dataflow).
- API and microservices architectures (Apigee, Cloud Run, GKE).
- DevOps, MLOps & Observability: CI/CD pipelines (Cloud Build, GitHub Actions, Jenkins), monitoring & observability (Cloud Monitoring, Cloud Logging), model performance and GenAI observability frameworks.
- Infrastructure as Code: Terraform, Deployment Manager.
- Google Document AI (Mandatory).

Experience & Qualifications

- 15+ years of overall technology experience.
- 8–10+ years in principle, enterprise, or chief architect roles.
- Proven experience delivering large-scale AI / GenAI solutions on Google Cloud.
- Strong background in customer-facing consulting or managed services delivery.
- Demonstrated experience managing senior architects and technical leaders.
- Prior role as Principal Architect, Distinguished Engineer, or Chief Architect preferred.

Leadership & Soft Skills

- Strong executive presence and storytelling ability.
- Ability to influence architecture and AI strategy at CXO level.
- Hands-on technical depth with strategic thinking.
- Passion for mentoring senior leaders and building AI talent pipelines.
- Comfortable operating in complex, multi-stakeholder enterprise environments.

Certifications (Highly Desirable)

- Google Cloud Certified – Professional Cloud Architect.
- Google Cloud Certified – Professional Machine Learning Engineer.
- Google Cloud Generative AI certifications.
- TOGAF or equivalent architecture certification.

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📍 Noida