AWS Agentic AI Architect | Bedrock Specialist | Hyderabad (Pan India)

Job Summary

Value Innovation Labs is hiring an experienced AWS Agentic AI Architect to design and deliver enterprise-grade generative AI and agent-based solutions on Amazon Bedrock for a leading enterprise client. You will define AI solution architecture, guide implementation, and build secure, scalable, cost-optimized AI platforms on AWS.

Work Details

• Location: Hyderabad preferred (Pan India considered)

• Mode: Hybrid, 3 days from office

• Shift: 12:00 PM to 9:30 PM IST

Mandatory Skills

• Hands-on experience designing and implementing agentic AI solutions on AWS

• Strong expertise in Amazon Bedrock: foundation models, Agents, Guardrails, and Knowledge Bases

• Experience with AWS AgentCore: agent orchestration, planning, memory, and tool integrations

• AWS certification (Solutions Architect, AI Practitioner, Machine Learning Specialty, or equivalent)

Roles & Responsibilities

• Design and implement agentic AI solutions using Amazon Bedrock and AWS AgentCore

• Build knowledge-base-driven AI applications using vector databases and Retrieval-Augmented Generation (RAG)

• Integrate Bedrock Agents with enterprise systems, APIs, databases, and business applications

• Design scalable, secure, and cost-optimized cloud-native AI solutions using Lambda, API Gateway, S3, DynamoDB, OpenSearch, ECS, EKS, IAM, and Step Functions

• Apply LLM architecture knowledge, prompt engineering, and agent workflow design to autonomous AI systems

• Implement governance, security, compliance, and responsible AI practices

• Define AI solution architecture, run technical assessments, and guide implementation teams

• Translate business requirements into AI-driven solutions

• Lead architecture discussions and technical workshops, and mentor development teams

Good to Have

• Multi-agent systems and frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or AutoGen

• RAG with Amazon OpenSearch, Pinecone, or Weaviate

• Model evaluation, observability, and AI monitoring

• LLM fine-tuning, model customization, and prompt optimization

• MLOps, CI/CD, and AI deployment strategies

• Exposure to Azure OpenAI or Google Vertex AI

• Conversational AI, chatbot, and virtual assistant experience

Desired Candidate Profile

• 6+ years of experience, with strong recent hands-on work in AWS and generative AI

• Proven delivery of Bedrock-based agent or RAG solutions

• Valid AWS certification (mandatory)

• Strong problem-solving, communication, and stakeholder management skills

• Comfortable working the 12:00 PM to 9:30 PM IST shift