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 Positive 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

📌 Artificial Intelligence Infrastructure Architect (Pune)
🏢 Accenture India Private
📍 Pune