RIS Google Lead Architect Associate Director

Accenture in India; Bengaluru; Sur place; INR 3 000 000 - 6 000 000; Plein temps

Résumé du poste

Accenture in India seeks a senior GCP authority to design, validate, and position Google Cloud solutions across transformation, modernization, and AI/ML. You will own mid-to-large GCP pursuits, define client architecture, and drive practice excellence by leveraging Vertex AI, Gemini, and enterprise workflows.

The role requires 18+ years IT experience with 3+ years in solution/cloud/pre-sales architecture, and hands-on design capability to prototype solutions. Certification in GCP is mandatory.

Qualifications

• 18+ years IT experience with 3+ years in solution/cloud/pre-sales architecture.
• Strong GCP domain experience across modernization, data, AI/ML, security and migration.
• Experience with $3M-$20M deals; familiarity with co-sell/PSO preferred.
• Hands-on ability to design, validate, and prototype solutions.
• GCP Professional Cloud Architect certification mandatory; additional certs preferred.

Responsabilités

• Own GCP solutioning and technical narrative for deals ranging from $3M to $20M.
• Design end-to-end GCP solutions across compute, network, storage, DB, security, analytics.
• Architect AI/ML using Vertex AI, Gemini, and Agent Builder with enterprise workflows.
• Lead modernization using containers, serverless, APIs, and event-driven architectures.
• Apply Google Cloud Architecture Framework for reliability, security, performance, cost.
• Build data platforms: BigQuery, Dataplex, Cloud Storage, Pub/Sub, Dataflow, Datastream.

Connaissances

GCP

Cloud-native architecture

Microservices

AI/ML on GCP

Python

Java/Spring Boot

.NET/C#

Node.js

IaC

Pre-sales

Data pipelines

Migration

Formation

Degree in Computer Science/Engineering

GCP Professional Cloud Architect

Outils

GKE

Cloud Run

Functions

Apigee

Terraform

Config Connector

CI/CD

Description du poste

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