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# Track Lead - Google Cloud Platform (GCP)

- **Company:** HCL America Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Google App Engines, BigQuery, Cloud Computing Security, Cloud Engineering, Cloud Storage, Data Architecture, Data Infrastructure, Identity and Access Management, Machine Learning, Software Engineering, Speech Recognition, Data Logging, Google Cloud, Load Balancing, Chatbots, Cloud Monitoring, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Amazon Virtual Private Cloud (VPC), Data Lakes, AI Platforms, Kubernetes, Data Analytics, Machine Learning Operations, Terraform, Data Pipelines
- **Published:** August 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1026caf170704c0d

## About the Role

Google Cloud Platform * Google Compute Engine (GCE) * Google Kubernetes Engine (GKE) * Cloud Run * Cloud Functions * VPC, Networking & Load Balancing * Cloud Storage * Cloud SQL * BigQuery * Pub/Sub * Cloud Monitoring & Logging * IAM & Security Services * Terraform / Infrastructure as Code

## Description

highly experienced Senior Google Cloud Architect to lead cloud transformation, modernization, and AI initiatives on Google Cloud Platform (GCP). The candidate will be responsible for designing scalable cloud architectures, enabling AI-driven business solutions, guiding migration and modernization programs, and providing technical leadership across multi-disciplinary teams. The ideal candidate should possess deep expertise in Google Cloud services, cloud-native architectures, data and AI platforms, MLOps, security, governance, and enterprise-scale implementation of Generative AI solutions, Cloud Architecture & Strategy * Design and implement enterprise-grade cloud architectures on GCP. * Define cloud adoption roadmaps, migration strategies, and modernization initiatives. * Drive architecture reviews and ensure alignment with GCP best practices and Well-Architected Framework principles. * Provide technical leadership for cloud-native application development and modernization. AI & Machine Learning Solutions * Architect and deploy AI/ML solutions leveraging Google Cloud AI services. * Design Generative AI, LLM, RAG (Retrieval-Augmented Generation), and intelligent automation platforms. * Implement AI governance, responsible AI practices, model lifecycle management, and monitoring. * Collaborate with business stakeholders to identify and deliver AI-powered use cases. Data & Analytics * Design modern data platforms using GCP data services. * Implement scalable data pipelines, data lakes, and analytics solutions. * Enable AI and machine learning workloads through
robust data architectures. Security & Governance * Establish cloud security, compliance, identity management, and governance controls. * Ensure adherence to enterprise security standards and regulatory requirements. * Drive cost optimization, operational excellence, and reliability initiatives. Leadership & Stakeholder Management * Act as a trusted advisor for customers and leadership teams. * Mentor architects, engineers, and cloud practitioners. * Support pre-sales activities, solution proposals, and customer workshops. * Lead cross-functional teams and oversee successful program execution., Vertex AI * Vertex AI Studio * Gemini Models * AutoML * AI Platform * Document AI * Vision AI * Speech-to-Text * Natural Language AI * AI Agents & Conversational AI Generative AI * Large Language Models (LLMs) * Prompt Engineering * RAG Architectures * Vector Databases * AI Agents & Agentic Frameworks


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