AI Infrastructure Architect

Accenture in India; Bengaluru; Hybrid; INR 1,400,000 - 2,100,000; Full time

Job summary

Accenture in India seeks an AI Infrastructure Architect to design and build scalable AI infrastructure solutions. Responsibilities include deploying agents, harnessing Vertex AI and Gemini Enterprise Agentic Platform, and optimizing performance, cost and security.

The role collaborates with ML engineers in Agile sprints and spans serverless orchestration and enterprise integrations. Required 3–5 years of software development, 15 years education, and strong GCP experience with Vertex AI, Pub/Sub,

Qualifications

• 3 to 5 years of software development experience
• Hands on experience with Google Cloud Platform services including Vertex AI
• Familiarity with agentic frameworks like ADK, LangChain, LangGraph, CrewAI

Responsibilities

• Develop and deploy AI agents using Google Vertex AI Agent Builder and Gemini Enterprise Agentic Platform
• Implement serverless orchestration with Cloud Run, Cloud Functions, Pub Sub
• Integrate LLM-powered reasoning pipelines and RAG memory patterns
• Collaborate with ML engineers and product managers in Agile sprints
• Contribute to technical documentation and code reviews

Skills

Agent Development

LLM APIs

Prompt engineering

Python

Node.js

RESTful API design

CI/CD pipelines

IAM

VPC

GCP security best practices

Event driven architectures

Google Cloud Platform

Vertex AI

Gemini Enterprise Agentic Platform

Cloud Run

Google Cloud Storage

Pub Sub

BigQuery

Python

Node.js

LangChain

LangGraph

CrewAI

Education

15 years full time education

Tools

Vertex AI

Gemini Enterprise Agentic Platform

Cloud Run

Google Cloud Storage

Pub Sub

BigQuery

Python

Node.js

ADK

LangChain

LangGraph

CrewAI

Job description

Project Role : AI Infrastructure Architect

Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.

Must have skills : Agent Development

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

1 GCP Agentic AI Developer

Level Mid Level

Experience 3 to 5 Years

Work Mode Remote or Hybrid

Employment Full Time

Key Responsibilities

• Develop and deploy AI agents using
• Google Vertex AI Agent Builder
• Gemini Enterprise Agentic Platform services
• Dialogflow CX
• Related GCP services
• Integrate LLM powered reasoning pipelines using
• Gemini
• Tool use patterns
• RAG
• Memory patterns
• Build and maintain serverless orchestration using
• Cloud Run
• Cloud Functions
• Pub Sub
• Implement APIs and microservices using
• Python
• Node js
• Connect agents with enterprise systems
• Collaborate with ML engineers and product managers in Agile sprints
• Participate in code reviews
• Contribute to technical documentation

Required Skills And Qualifications

• 3 to 5 years of software development experience
• Hands on experience with Google Cloud Platform services including
• Vertex AI services
• Gemini Enterprise Agentic Platform services
• Cloud Run
• Google Cloud Storage
• Pub Sub
• BigQuery
• Working knowledge ofLLM APIs
• Prompt engineering fundamentals
• Proficiency in
• Python
• Node js
• Familiarity with agentic frameworks such as
• ADK
• LangChain
• LangGraph
• CrewAI
• Experience with
• RESTful API design
• Event driven architectures
• CI CD pipelines
• Basic understanding of
• IAM
• VPC
• GCP security best practices
• Strong problem solving ability
• Growth mindset