Project Role Description:
Act as the primary GCP technical authority within the Cloud & AI Practice, designing, validating, and positioning Google Cloud solutions across transformation, modernization, and AI/ML. Lead mid–large GCP pursuits, define client architecture, and drive practice excellence by tracking GCP services, partner programs, and Vertex AI/Gemini-led delivery patterns.
Must have Skills: GCP (breadth & depth), Cloud-native architecture, Microservices & containers, AI/ML on GCP (Vertex AI, Gemini), Python, Java/Spring Boot, .NET/C#, Node.js, IaC (Terraform, Config Connector), Pre-sales
Good to Have Skills: GCP AI/ML, Data pipelines, Migration
Key Responsibilities:
- Own GCP solutioning and technical narrative for deals ($3M–$20M).
- Design end-to-end GCP solutions across compute, network, storage, DB, security, analytics, AI/ML aligned to client needs.
- Architect AI/ML using Vertex AI (training, pipelines, RAG, agents), Gemini, and Agent Builder with enterprise workflows.
- Lead modernization using containers (GKE, Cloud Run), serverless (Cloud Functions, Workflows, Eventarc), APIs (Apigee), and event-driven architectures (Pub/Sub, Dataflow).
- Apply Google Cloud Architecture Framework (reliability, security, performance, cost, sustainability).
- Build data platforms: BigQuery, Dataplex, Cloud Storage, streaming (Pub/Sub, Dataflow, Datastream), databases (Spanner, AlloyDB, Firestore, Bigtable).
- Support Google Cloud Partner growth via specializations, case studies, GTM.
- Develop proposal artefacts (solutions, diagrams, RFPs, cost models via pricing tools).
- Conduct discovery workshops, architecture reviews, and POCs.
- Mentor architects and build reusable accelerators/assets.
- Collaborate with GCP teams for co-sell and funding (PSO credits, incentives).
Technical Experience:
Strong GCP expertise (GCE, GKE, Cloud Run, Functions, VPC, Interconnect, Spanner, AlloyDB, Bigtable, Firestore) with architecture and cost design skills.
Experience with GCP AI/ML (Vertex AI, Gemini, Agent Builder) integrated with enterprise workflows and frameworks (LangChain, LlamaIndex, Hugging Face).
Proficiency in modernization: containers, serverless, APIs, event-driven systems using Terraform, Config Connector, CI/CD (Cloud Build, GitOps).
Knowledge of data platforms: BigQuery, Dataplex, Data Catalog, Pub/Sub, Dataflow, Datastream, Looker.
Understanding of GCP security & governance: IAM, Resource Manager, BeyondCorp, Security Command Center, Chronicle, VPC SC; plus hybrid/migration (Anthos, Distributed Cloud, Migrate to VMs, DMS).
Professional Attributes:
Trusted GCP authority engaging architects, CTOs, and partner forums.
Strong pre-sales ownership for mid-to-large pursuits.
Clear communicator translating architecture into business outcomes.
Commercially aware (cost, TCO, delivery feasibility).
Collaborative across stakeholders and GCP teams.
Continuously updated with GCP roadmap, I/O, and AI releases.
Experience & Qualifications:
18+ years IT experience; 3+ years as Solution/Cloud/Pre-sales Architect.
Experience across GCP domains (modernization, data, AI/ML, security, migration).
Exposure to $3M–$20M deals; familiarity with co-sell/PSO preferred.
Hands-on ability to design, validate, and prototype solutions.
Degree in Computer Science/Engineering or related field.
GCP Professional Cloud Architect (mandatory); additional certifications preferred
