GCP - Delivery Head

Job Title Senior Technical GCP Delivery Head Agentic AI and Data

Level Leadership

Core Mission To lead the architectural design and delivery of GCP native platforms where Data is the foundation and Agentic AI is the engine

Role Executive Summary

As the Senior Technical Delivery Head you are the visionary lead for complex Google Cloud engagements You will move beyond cloud migration to intelligent transformation Your primary responsibility is to architect and deliver agentic workflows autonomous AI systems that can reason use tools and access real time data to solve business problems You will bridge the gap between data engineering and generative AI to create scalable production grade agentic ecosystems

Key Responsibilities Agentic and Data Core

Agentic orchestration and delivery Lead deployment of multi agent systems using Vertex AI Agents and LangGraph responsible for delivering agents that execute complex tasks such as automated procurement and intelligent supply chain rerouting

Data centric AI strategy Oversee architecture of BigQuery centric data clean rooms and data fabrics using Dataplex to ensure AI models are grounded in high quality real time enterprise data

RAG and vector architecture Direct implementation of retrieval augmented generation patterns using Vertex AI Vector Search and AlloyDB for high performance context retrieval

LLMOps and governance Establish AI delivery processes including model evaluation prompt versioning and safety guardrails using GCP Model Armor and Sensitive Data Protection

Technical governance Conduct architectural reviews ensuring adherence to Google Cloud well architected framework with focus on AI ML pillar

Technical Stack Requirements

Agentic AI Vertex AI Agent Builder LangChain Function Calling Reasoning Engine Model Garden Gemini 1.5 Pro and Flash

Data Engineering BigQuery BigLake Omni Dataflow streaming Pub Sub Dataplex for data governance

Vector and Search Vertex AI Search and Conversation Vector Search pgvector on Cloud SQL AlloyDB

Cloud Native GKE for hosting custom agent services Cloud Run Terraform infrastructure as code

AI Safety Vertex AI Model Monitoring Data Masking VPC Service Controls for AI workloads

Qualifications

Experience 12 plus years in technical delivery or architecture with at least 4 years focused on data and AI at scale on GCP

Architectural depth Proven track record of moving AI models from proof of concept to production with full CI CD and LLMOps pipelines

Leadership Experience managing a technical office of 20 plus lead architects and data engineers

Education Masters in computer science AI or data science preferred

Certifications Required GCP Professional Cloud Architect Preferred GCP Professional Data Engineer or Professional Machine Learning Engineer