DU Head (DPO)

About the Role

DU Head (DPO) Noida, Uttar Pradesh **Job Summary** --------------- **Principal / Distinguished Architect – Google Cloud AI, Agentspace \& Google AI Stack** ---------------------------------------------------------------------------------------- ### **Role Summary** We are seeking a **very senior Google Cloud AI Architect** to lead the design, delivery, and governance of **enterprise\-scale AI and Generative AI solutions on Google Cloud Platform (GCP)** . This role requires deep hands\-on expertise across the **Google AI stack** , including **Vertex AI and Agentspace** , combined with strong customer\-facing leadership and the ability to **manage and mentor senior AI technical leaders embedded in customer environments** . The role operates at the intersection of **AI platform strategy, cloud architecture, advanced GenAI engineering, and executive advisory** , acting as a trusted advisor to customer CXOs while scaling high\-performing AI architecture and engineering teams. **Key Responsibilities** ------------------------ ### **Key Responsibilities** #### **1\. AI \& Cloud Architecture Leadership** * Own **end\-to\-end architecture** for AI, GenAI, and data\-driven platforms built on **Google Cloud Platform** . * Define **enterprise reference architectures, blueprints, and guardrails** aligned with Google Cloud best practices. * Lead architecture decisions for **large\-scale, mission\-critical AI platforms** across multiple customer programs. * Act as final escalation point for complex architecture, scalability, security, and cost challenges. #### **2\. Generative AI, Gemini \& Agentspace** * Architect and govern GenAI solutions using: + **Vertex AI (Gemini models, Model Garden, Extensions)** + **Google Agentspace** for building enterprise\-grade AI agents + **Vertex AI Search \& Conversation** * Design advanced GenAI patterns: + Retrieval\-Augmented Generation (RAG) + Agentic workflows and multi\-agent orchestration + Tool / function calling and enterprise system integration * Define **Responsible AI, safety, and governance frameworks** aligned to Google AI principles. #### **3\. Google AI \& Data Platform Architecture** * Lead scalable AI and data platform architectures using: + **BigQuery, BigLake, Cloud Storage** + **Dataflow, Dataproc, Pub/Sub** + **AlloyDB, Spanner (when applicable)** * Architect **secure, multi\-project GCP environments** with strong network isolation and identity controls. * Ensure high availability, resiliency, and performance for AI workloads. #### **4\. MLOps, LLMOps \& Engineering Excellence** * Define and enforce **MLOps / LLMOps standards** on GCP: + Vertex AI Pipelines and CI/CD + Model registry, versioning, and evaluation + Prompt lifecycle management and experimentation * Establish best practices for: + Model quality, bias detection, and drift monitoring + LLM evaluation and hallucination mitigation + Cost governance and quota management #### **5\. Security, Privacy \& Responsible AI** * Architect secure AI systems with focus on: + IAM, service accounts, workload identity federation + VPC Service Controls, CMEK, data encryption + Secure GenAI patterns (prompt injection prevention, data isolation) * Ensure compliance with enterprise and regulatory standards (GDPR, SOC2, ISO, HIPAA, etc.). #### **6\. Customer \& Executive Engagement** * Act as **Chief / Principal AI Architect** for strategic customer engagements. * Lead architecture and AI strategy discussions with **CIOs, CTOs, CDOs, and business leaders** . * Translate complex business challenges into **scalable Google AI roadmaps** . * Support pre\-sales and growth activities including: + Technical solutioning and deal shaping + Architecture due diligence and risk assessments + RFP responses and solution defenses #### **7\. 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. **Skill Requirements** ---------------------- ### **Required Technical Expertise** #### **Core Google Cloud Platform (Must\-Have)** * **GCP Architecture (Expert Level)** + Multi\-project design, shared VPCs, networking + Identity \& security (IAM, IAP, VPC Service Controls) + Google Cloud architecture and reliability best practices * **Infrastructure as Code** + Terraform, Deployment Manager #### **AI / ML \& GenAI (Must\-Have)** * **Vertex AI** + Gemini models, custom model training + Feature Store, Pipelines, Model Registry * **Agentspace** + Agent design, orchestration, and tool integration * **Vector Search \& RAG** + Vertex AI Vector Search + BigQuery vector search #### **Data \& Integration** * 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 ### **Experience \& Qualifications** * **15\+ years** of overall technology experience. * **8–10\+ years** in **principal, 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 **Other Requirements** ---------------------- ### **Required Technical Expertise** #### **Core Google Cloud Platform (Must\-Have)** * **GCP Architecture (Expert Level)** + Multi\-project design, shared VPCs, networking + Identity \& security (IAM, IAP, VPC Service Controls) + Google Cloud architecture and reliability best practices * **Infrastructure as Code** + Terraform, Deployment Manager #### **AI / ML \& GenAI (Must\-Have)** * **Vertex AI** + Gemini models, custom model training + Feature Store, Pipelines, Model Registry * **Agentspace** + Agent design, orchestration, and tool integration * **Vector Search \& RAG** + Vertex AI Vector Search + BigQuery vector search #### **Data \& Integration** * 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 ### **Experience \& Qualifications** * **15\+ years** of overall technology experience. * **8–10\+ years** in **principal, 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