Location: Hyderabad
Experience: 7–11 Years

About the Role

We are seeking an experienced AWS Agentic AI Architect with strong expertise in Amazon Bedrock and enterprise AI solution architecture. The role focuses on designing secure, scalable, and cost-effective Agentic AI, RAG, and LLM-powered solutions on AWS. You will work with business and technology stakeholders to translate requirements into AI-driven solutions and provide architecture and implementation guidance.

Job Description

The role involves designing and implementing Agentic AI solutions using AWS services, with deep expertise in Amazon Bedrock Foundation Models, Agents, Guardrails, and Knowledge Bases. You will develop intelligent agent solutions incorporating orchestration, planning, memory, tool integration, and enterprise system connectivity.

You will architect Knowledge Base-driven applications using vector databases and Retrieval-Augmented Generation (RAG), while integrating Bedrock Agents with APIs, databases, and business applications. The position requires strong understanding of LLM architectures, prompt engineering, agent workflows, autonomous AI systems, and cloud-native AI platform engineering.

The candidate will also establish governance, security, compliance, and responsible AI practices, perform technical assessments, and guide implementation teams. Strong communication and stakeholder management skills are required for architecture discussions, technical workshops, and cross-functional collaboration.

Key Responsibilities

• Design and implement Agentic AI solutions using AWS services and Amazon Bedrock.
• Architect solutions using Bedrock Foundation Models, Agents, Guardrails, and Knowledge Bases.
• Develop agent orchestration capabilities covering planning, memory, and tool integrations.
• Build enterprise RAG and Knowledge Base solutions using vector databases.
• Integrate Bedrock Agents with enterprise APIs, databases, and business applications.
• Design scalable, secure, and cost-optimized cloud-native AI architectures.
• Establish AI governance, security, compliance, and responsible AI practices.
• Conduct technical assessments, lead architecture discussions, and provide implementation guidance.

Required Skills

• Amazon Bedrock
• Agentic AI solution architecture and development
• AWS AgentCore, including agent orchestration, planning, memory, and tool integration
• RAG, Knowledge Bases, vector databases, and LLM integration
• LLM architectures, prompt engineering, agent workflows, and autonomous AI systems
• AWS cloud architecture and AI platform engineering
• AWS services including Lambda, API Gateway, S3, DynamoDB, OpenSearch, ECS, EKS, IAM, and Step Functions
• Enterprise API, database, and business application integration
• AI governance, security, compliance, and responsible AI
• Strong analytical, problem-solving, communication, and stakeholder management skills
• AWS certification: AWS Certified Solutions Architect, AWS Certified AI Practitioner, AWS Certified Machine Learning Specialty, or equivalent

Preferred / Good to Have

• Multi-agent systems and advanced AI orchestration frameworks
• LangChain, LangGraph, CrewAI, Semantic Kernel, or AutoGen
• Enterprise RAG using Amazon OpenSearch, Pinecone, Weaviate, or other vector databases
• Model evaluation, observability, AI monitoring, and performance optimization
• LLM fine-tuning, model customization, and prompt optimization
• MLOps, CI/CD pipelines, and AI application deployment
• Data engineering and structured/unstructured data integration
• Responsible AI, AI governance, and compliance frameworks
• Exposure to Azure OpenAI, Google Vertex AI, or other cloud AI platforms
• Enterprise digital transformation and AI modernization initiatives
• CX, conversational AI, chatbot, or virtual assistant solutions
• Architecture workshops, technical leadership, and mentoring development teams
• Preferred AWS certifications including AI Practitioner, Machine Learning Specialty, Solutions Architect Associate/Professional, or Developer Associate

Mandatory Skills

• AWS Bedrock

Candidate Profile

The ideal candidate will have strong hands-on experience architecting and implementing Agentic AI solutions on AWS, with deep expertise in Amazon Bedrock and enterprise RAG architectures. The candidate should combine strong cloud and AI architecture skills with the ability to lead technical discussions, assess solutions, and communicate effectively with business and technology stakeholders.

Benefits Package

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• The opportunity to work on exciting and challenging projects with leading clients