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
Positive to have skills : NA
Minimum 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