Description :

Role Summary :

The Regional Google Cloud Consulting Architect will be responsible for designing, implementing, and optimizing Google Cloudbased solutions for mid-market to enterprise clients. The role focuses on cloud architecture, application modernization, AI/ML enablement, and infrastructure optimization while working closely with clients and internal teams to deliver scalable, secure, and high-impact cloud solutions.

Key Responsibilities :

- Design and implement end-to-end Google Cloud solution architectures aligned with client business needs

- Lead cloud migration, modernization, and optimization initiatives using GCP infrastructure services

- Architect and implement AI/ML solutions leveraging Google Cloud AI stack including Vertex AI and Agentic AI capabilities

- Support application architecture design using modern software stacks and DevOps practices

- Collaborate with clients to gather requirements, propose solutions, and ensure successful delivery

- Drive system integration across cloud platforms, applications, and data services

- Provide technical guidance during project execution and ensure best practices in security, scalability, and performance

- Support pre-sales activities including solution design, technical presentations, and architecture reviews

- Work with cross-functional teams to ensure timely and high-quality project outcomes

Key Result Areas (KRAs) :

- Successful delivery of Google Cloud architecture and implementation projects

- Adoption and optimization of GCP services across client environments

- Effective implementation of AI/ML and data-driven cloud solutions

- High client satisfaction and long-term engagement success

- Improved performance, scalability, and cost efficiency of cloud environments

Required Skillsets :

- Strong expertise in Google Cloud Platform architecture and services

- Hands-on experience with GCP infrastructure services including GKE, Cloud Run, migration, and modernization

- Working knowledge of Google Cloud AI/ML services such as Vertex AI and Agentic AI stack

- Experience with application architecture and modern DevOps practices

- Exposure to GCP data services including BigQuery, Looker, Dataflow, and Google Analytics

- Experience with automation and IaC tools such as Terraform or Google Cloud Deployment Manager

- Strong client-facing, communication, and stakeholder management skills

- Ability to work independently in a remote, fast-paced consulting environment

Educational Qualification :

Qualifications :

- 12+ years of experience implementing technological solutions, including knowledge of cloud architecture design, evaluation, and research

- 5+ years of experience with Google Cloud AI / ML products is must- Vertex AI, Gemini, CCAI, solution design and implementation for mid market to enterprise clients.

- Strong hands on experience with Agentic AI Google stack.

- 5+ years of hands-on experience in application architecture, with a focus on creating scalable and reliable software systems that make use of contemporary software stacks and DevOps techniques

- 5+ years of experience managing clients and/or projects

- 5+ years of experience using Google Cloud Platform (GCP) Infra Services - Migration, Modernization, GKE, Cloud Run

- 2+ years of experience using Google Cloud Platform Data Services, Big Query, Looker, DataFlow, Google Analytics

- Experience with automation technologies, Terraform, or Google Cloud Deployment Manager