Program Tech Lead - AI & Digital Platform (Google Cloud)
Full-time Mid-Senior LevelJob Overview
We are seeking a Program Tech Lead – AI & Digital Platform to lead high-profile artificial intelligence and digital transformation programs across complex enterprise environments.
Building upon a foundation of deep full-stack and cloud engineering, this role demands a technical leader who can bridge high-level architecture with hands-on squad delivery. You will take technical ownership of scaling custom AI Agents, Agentic Workflows (using Google ADK and LLM patterns), and cloud-native digital platforms across Commerce, Retail, and Customer Digital channels within the telecommunications sector.
If you are a seasoned Tech Lead or Solution Architect with a passion for Google Cloud, AI agent development, and leading delivery squads in enterprise telco environments, this is your opportunity to drive true innovation at scale.
What You’ll Be Doing
Program-Level Technical Ownership: Drive end-to-end technical delivery across multiple AI and digital transformation programs, translating complex architectural designs into execution plans, epics, and production-ready software.
Agentic AI & GenAI Platform Engineering: Architect, build, and deploy custom intelligent bots and AI agents utilizing Google Agent Development Kit (ADK), Vertex AI, and modern Large Language Model (LLM) orchestration frameworks.
Full Stack & Microservices Leadership: Lead the technical standards for cloud-native microservices, modern front-end web solutions (TypeScript/Angular), and API integrations connecting cloud AI platforms to core backend systems.
Cloud Infrastructure & DevOps: Drive Infrastructure as Code (Terraform) discipline, automated testing, and CI/CD best practices across multi-environment GCP deployment pipelines.
Squad Enablement & Mentorship: Lead, unblock, and mentor senior developers and engineers; set code quality benchmarks, conduct reviews, and maintain robust technical documentation and runbooks.
Stakeholder & Pre-Sales Management: Partner with Portfolio Leads, Product Managers, and enterprise architects to evaluate technical feasibility, estimate delivery effort, manage technical risk, and showcase platform demos.