AI Infrastructure Architect

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 of

LLM 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