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 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

15 years full time education

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