Live opening · Posted 7 days ago

AI Infrastructure Architect

Accenture India · Pune Division, Maharashtra, India (Hybrid)
Linkedin No
You are 7 days behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 7 days ago
CompanyAccenture India
LocationPune Division, Maharashtra, India (Hybrid)
Work modeNo
SourceLinkedin
Listed7 days ago

Your early-applicant advantage

Live timing from JobBeeper.

Live data
277 min from Linkedin publishing this role to us finding it
9 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
17,041 roles found in the last 24 hours — the newest are not on this site yet
Start your free trial →

About the role

Description supplied by the original job listing.

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 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Level Senior Level
Experience 5 to 8 Years
Work Mode Remote or Hybrid
Employment Full Time
Key Responsibilities
Build multi agent orchestration systems using
Vertex AI
Agent Builder
LangGraph
AutoGen
Design scalable and resilient pipelines integrating
LLM reasoning
Tool calling
Memory management
Human in the loop flows
Lead the design and implementation of RAG systems using
Vertex AI Search
Matching Engine
Enterprise vector stores
Define and enforce GCP infrastructure standards using a security first approach across
GKE
Cloud Run
Eventarc
Apigee
Drive MLOps practices including
Model evaluation
Agent observability
Tracing
Logging
Continuous improvement loops
Partner with product, data science, and platform teams to translate business requirements into agentic solutions
Conduct in depth code reviews
Conduct architecture reviews
Mentor developers with 3 to 5 years of experience
Contribute to
Internal developer platforms
SDKs
Reusable agent components
Required Skills And Qualifications
5 to 8 years of software or platform engineering experience
2 or more years focused on AI ML or agentic systems
Deep expertise in GCP services including
Vertex AI
Gemini
Vertex AI Pipelines
Feature Store
GKE
Pub Sub
Proven experience building production grade LLM powered applications with
Tool use
Multi turn reasoning
Agent memory
Proficiency in Python
Strong understanding of
Async patterns
Concurrency
Distributed systems
Hands on experience with agentic frameworks such as
ADK
LangChain
LangGraph
CrewAI
Experience with
Vector databases
Embedding pipelines
Hybrid search architectures
Strong command of GCP security including
IAM
Workload Identity
VPC Service Controls
Secret Manager
Track record of delivering
High availability services
Low latency services
SLO SLA ownership

Work arrangement
No

Get JobBeeper Mobile App

Never miss a job opening! Get instant job alerts on your phone.

Subscribers see fresh openings within minutes. Download the JobBeeper App on Google Play to get real-time push notifications and apply before anyone else.

⚡ Instant Push Alerts 🎯 Tailored Filters 🚀 Direct Employer Links
GET IT ON Google Play

More openings worth a look

Recently tracked roles with full details and direct application links.

6 roles
Good roles move before most people even see them. Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →
⚡ Get fresh job alerts 📱 Get App