Cloud Platform Architect

Accenture; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Accenture is seeking a GenAI & Agent Development Lead to oversee the design, development, and deployment of agent-based AI applications using Google ADK and Vertex AI. You will work on Gemini models, RAG pipelines, and enterprise integrations to deliver scalable AI platforms.

You will guide teams, design end-to-end agent workflows, and apply orchestration and observability practices for production-grade AI solutions.

Qualifications

• Must have hands-on experience with Google ADK and Google Cloud platforms.
• Strong understanding of Generative AI and Gemini models.
• Experience with RAG architectures and data chunking strategies.
• Experience with Agent‑to‑Agent (A2A) patterns and MCP orchestration concepts.

Responsibilities

• Lead design of agent-based GenAI applications using Google ADK and Vertex AI.
• Develop and maintain AI agents and agent workflows (single and multi-agent).
• Implement MCP-based orchestration concepts for agent execution and coordination.
• Build RAG pipelines with data ingestion, chunking, embeddings, and retrieval optimization.
• Contribute to Graph RAG implementations and knowledge graphs for reasoning.
• Ground Gemini Enterprise solutions on 1P/3P data sources and enterprise data.
• Apply Vertex AI ML services for embeddings, inference, and pipelines.
• Integrate agents with enterprise systems and APIs.
• Focus on prompt engineering, role prompting, and prompt chaining.
• Support agent observability with logging and tracing.
• Follow secure agent design practices and access controls.
• Document designs, workflows, and deployment setups.
• Provide technical guidance to L9/L10 teams and delivery managers.

Skills

Google ADK

Generative AI

Gemini models

RAG architectures

A2A patterns

MCP orchestration

Vertex AI

Python/Node.js

Education

15 years full time education

Tools

Google ADK

Vertex AI

Job description

Project Role: Cloud Platform Architect

Project Role Description: Oversee application architecture and deployment in cloud platform environments – including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring.

Must Have Skills: Google Cloud Platform Architecture

Good to Have Skills: NA

Experience: Minimum 7.5 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary

As a GenAI & Agent Development Lead, you will be responsible for developing and delivering agent-based AI applications and platforms using Google Agent Development Kit (ADK) and Google Cloud AI services. Your typical day will involve applying Generative AI models (Gemini), RAG-based retrieval, and agent orchestration patterns to build intelligent, scalable, and production‑ready AI solutions.

You should have strong hands‑on experience in designing, building, deploying, and optimizing AI agents, with a growing ability to guide teams and contribute to solution design.

Roles & Responsibilities

• Solutioning and designing agent-based GenAI applications and systems using Google ADK and Vertex AI
• Design, develop, and maintain AI agents and agent workflows, including single‑agent and multi‑agent patterns and Agent‑to‑Agent (A2A) communication flows
• Implement MCP‑based orchestration concepts for agent execution, control, and coordination
• Build RAG pipelines, including data ingestion, chunking strategies, embedding generation, and retrieval optimization
• Contribute to Graph RAG implementations, leveraging knowledge graphs for enhanced reasoning and context
• Implement Gemini Enterprise‑based solutions, grounding models on first‑party (1P) enterprise data and third‑party (3P) systems and data sources
• Apply Vertex AI Machine Learning services for embeddings, inference, evaluation, and pipelines
• Integrate agents with enterprise systems, APIs, tools, and workflows
• Apply prompt engineering techniques, including role prompting and prompt chaining
• Assist in implementing agent observability, including logging, tracing, and quality monitoring
• Follow secure agent design practices, including controlled tool access and safe execution
• Document technical designs, agent workflows, and deployment setups
• Provide technical guidance to L9/L10 team members and support Manager in delivery execution

Professional & Technical Skills

Must Have Skills

• Hands‑on experience with Google Agent Development Kit (ADK)
• Strong understanding of Generative AI and Gemini models
• Experience with RAG architectures and chunking strategies
• Working knowledge of Agent‑to‑Agent (A2A) patterns
• Familiarity with MCP or similar agent orchestration concepts
• Experience with Vertex AI Machine Learning services
• Prompt engineering and agent workflow design
• Strong programming skills in Python (or Node.js)

Good To Have Skills

• Knowledge of Graph RAG / Knowledge Graph integration
• Cloud data architecture on Google Cloud
• Google Cloud certifications (Google Cloud Machine Learning Services / Cloud Architect)
• Experience with enterprise‑grade CI/CD and production pipelines

Additional Information

10+ years of relevant experience

Proficient in Google Cloud Machine Learning Services, GenAI, and agent‑based systems

Strong foundation in computer science, AI/ML, or related fields

15 years full time education

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.