GCP Delivery Lead (Practice Lead / Principal Architect)

*GCP Delivery Lead (Practice Lead / Principal Architect) *

Location: Mumbai / Bangalore / Gurgaon / Hyderabad

Experience: 12+ Years

About AuxoAI

AuxoAI is a global platform-based services firm that helps enterprises transform strategy into digital and AI-powered solutions. We leverage data, cloud, and AI technologies to drive growth, improve operations, and enhance customer experiences across industries such as healthcare, high-tech, consumer goods, and financial services.

Role Summary

The GCP Delivery Lead is responsible for driving the technical vision, architecture, and delivery of enterprise-scale solutions on Google Cloud Platform (GCP). This role combines deep technical expertise with strong delivery leadership and customer engagement capabilities, working closely with clients, Google teams, and internal stakeholders.

*Key Responsibilities *

Technical Leadership

Define and own GCP solution architecture and technical strategy for client engagements

Design scalable, secure, and resilient cloud-native architectures

Establish architecture standards, best practices, and reusable frameworks

Provide governance and oversight across multiple programs

*Delivery Leadership *

Ensure successful delivery of cloud transformation and modernization initiatives

Conduct architecture reviews, risk assessments, and quality assurance

Guide engineering teams through complex implementations

Ensure solutions meet performance, security, and scalability standards

*Google Partnership & Pre-Sales *

Act as primary technical interface with Google Cloud teams

Support joint solutioning, co-selling, and client workshops

Contribute to proposals, solution design, and executive presentations

AI & Data Solutions

Lead enterprise AI, GenAI, and data platform architecture on GCP

Drive adoption of Vertex AI, BigQuery, and modern AI/ML platforms

Advise clients on AI strategy, transformation, and innovation

*Practice Development *

Build and mentor high-performing architecture and engineering teams

Drive certifications, capability building, and hiring initiatives

Create accelerators, reusable assets, and reference architectures

Contribute to practice growth and go-to-market strategies

Required Qualifications

Experience

12+ years in cloud architecture, software engineering, or consulting

5+ years of hands-on GCP architecture and delivery experience

Proven track record in large-scale cloud transformation programs

Experience managing multi-client and multi-program delivery

Technical Expertise

*Strong experience in: *

GCP services: GKE, Cloud Run, Compute Engine, Cloud Functions

Data & analytics: BigQuery, Dataflow, Dataproc

Storage & integration: Cloud Storage, Pub/Sub

Databases: Cloud SQL

Security & networking (IAM, infrastructure design)

AI & Data

Experience with GenAI, LLM-based applications, and RAG architectures

Hands-on exposure to Vertex AI and ML platforms

Strong understanding of data engineering and analytics ecosystems

*Leadership Skills *

Strong stakeholder management and executive communication

Ability to lead workshops and architecture discussions

Proven mentorship and team leadership capabilities

Customer-first consulting mindset

Preferred Qualifications

Google Cloud Professional certifications (Architect, Data Engineer, ML Engineer)

Experience with Google partner ecosystem

Exposure to AWS/Azure multi-cloud environments

Background in consulting or AI-driven organizations

*Success Metrics *

Successful delivery of GCP transformation programs

Customer satisfaction and business growth

Expansion of Google Cloud partnerships

Development of reusable frameworks and certified talent