Auxo AI - GCP Delivery Lead/Practice Lead/Principal Architect

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 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:

- 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 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.

(ref:hirist.tech)