Educational Requirements;
Bachelor of Engineering

Service Line;
- Infosys Quality Engineering

- Responsibilities;
- AI Architecture EngineeringDefine and own AI reference architectures for generative AI, agentic systems, and AI augmented applicationsArchitect scalable solutions using LLMs, multi agent systems, orchestration frameworks, and AI pipelinesDesign AI platforms supporting model serving, prompt management, RAG, and workflow orchestrationEstablish architectural standards for performance, scalability, reliability, and cost efficiencyPlatform Engineering IntegrationBuild reusable AI components for LLM integration, vector search, embeddings, and inference servicesEnable secure and scalable deployment using Kubernetes, serverless platforms, and CI/CD pipelinesIntegrate AI capabilities into enterprise systems using APIs, SDKs, and event driven architecturesCollaborate with QE teams to embed AI into test automation, test data generation, and intelligent validation
-

Technical and Qualified Requirements:;
- LLM AND (RAG OR "Retrieval Augmented Generation")



AND(LangChain OR LangGraph OR CrewAI OR AutoGen) ANDPython AND Kubernetes, Agentic AI OR "Multi Agent Systems" OR"Autonomous Agents" OR"AI Orchestration", (AWS Bedrock OR Azure OpenAI OR Vertex AI) AND(Kubernetes OR Docker) AND(Microservices OR Cloud Native)

Preferred Skills:;

- Technology->Open System->Open System- ALL->Python
- Technology->AI Hyperscalers->Azure Agentic AI Services->Azure NLP
- Technology->AI Hyperscalers->Google Agentic AI Services->GCP
- Technology->Agentic AI->Google Cloud
- Contact Center AI
- Technology->AI Hyperscalers->AWS Agentic AI Services->AWS Neuron
- Technology->Machine Learning->Generative AI->retrieval augmented generation (rag)
- Technology->AI Engineering->AI/ML Solution Architecture and Design
- Technology->Agentic AI->Agent Engineering
- Technology->AI Engineering->Model Deployment (Kubernetes)
- Technology->Agentic AI->AgentOps

-

📌 AI Engineering Architect (Bengaluru)
🏢 Infosys
📍 Bengaluru