RIS Google Lead Architect Associate Director

Accenture; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Accenture in Bengaluru seeks a senior GCP Solutions Architect to act as the primary technical authority, designing and validating Google Cloud solutions across transformation, modernization and AI/ML engagements. You will lead mid-to-large GCP pursuits, define client architecture, and drive practice excellence by aligning with Vertex AI, Gemini and enterprise workflows.

The role requires hands-on design, validation, and prototyping of scalable GCP solutions, with strong focus on pre-sales and

Qualifications

• 18+ years IT experience with at least 3+ years in Solution/Cloud/Pre-sales Architecture.
• GCP Professional Cloud Architect certification mandatory; additional certs preferred.
• Experience across modernization, data, AI/ML, security, and migration on GCP.
• Ability to design, validate, and prototype end-to-end GCP solutions.

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.
• Architect AI/ML using Vertex AI, Gemini, and Agent Builder with enterprise workflows.
• Lead modernization using containers (GKE, Cloud Run) and serverless (Functions, Workflows).
• Apply Google Cloud Architecture Framework for reliability, security, cost, and sustainability.
• Build data platforms: BigQuery, Dataplex, Cloud Storage, Pub/Sub, Dataflow; databases like Spanner/AlloyDB.
• Support partner growth via specializations, case studies, GTM; develop proposals and RFPs.
• Conduct discovery workshops, architecture reviews, and POCs; mentor architects.

Skills

GCP breadth & depth

Cloud-native architecture

Microservices & containers

AI/ML on GCP

Python

Java/Spring Boot

.NET/C#

Node.js

IaC (Terraform)

Pre-sales

Education

Bachelor's degree in Computer Science/Engineering

Tools

GCP

Vertex AI

Gemini

Terraform

Config Connector

CI/CD (Cloud Build)

Looker

Job description

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.

TBD

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