AWS Agentic AI Architect

Job Title: AWS Agentic AI Architect

Job Code: TRX-26044

Location: Hyderabad Preferred (PAN India - Hybrid: 3 Days Office / 2 Days Remote)

Job Type: Full-time, Permanent

Number of Openings: 3

Salary: Up to ₹21,00,000 per year

Schedule: Day/Mid Shift (12:00 PM – 9:30 PM IST)

About the Role

We are seeking an experienced AWS Agentic AI Architect to design and implement enterprise-grade Agentic AI solutions utilizing Amazon Bedrock, AWS AgentCore, Knowledge Bases, and RAG architectures. In this role, you will lead solution architecture, intelligent agent development, cloud integration, AI security, and performance optimization across scalable AWS environments.

Key Responsibilities

• Design and implement enterprise Agentic AI solutions using Amazon Bedrock Foundation Models, Agents, Guardrails, and Knowledge Bases.
• Develop intelligent agents using AWS AgentCore, focusing on orchestration, planning, memory, and tool integration.
• Build robust RAG-based applications using vector databases and integrate AI agents with enterprise APIs, databases, and business systems.
• Architect scalable, secure, and cost-optimized cloud-native AI solutions using core AWS infrastructure services.
• Implement AI governance, security, compliance, and responsible AI practices across enterprise implementations.
• Define solution architecture, conduct technical feasibility assessments, and lead architecture discussions with key stakeholders.

Basic Qualifications

• Experience: 6+ years of relevant experience in cloud computing, AI architecture, or enterprise solution development.
• Core Agentic AI Stack: Hands-on experience designing and implementing Agentic AI solutions on AWS, with deep expertise in Amazon Bedrock (Agents, Guardrails, Knowledge Bases).
• Frameworks & Orchestration: Direct knowledge of AWS AgentCore, agent orchestration, planning, memory, and tool integration.
• RAG & Vector Search: Proven experience building enterprise Retrieval-Augmented Generation (RAG) applications using vector databases.
• AWS Cloud Native Stack: Strong experience with AWS Lambda, API Gateway, S3, DynamoDB, OpenSearch, ECS/EKS, IAM, and Step Functions.
• Mandatory Certification: Active AWS Certification (AWS Certified Solutions Architect, AWS Certified AI Practitioner, or AWS Certified Machine Learning – Specialty).

Preferred Qualifications

• Exposure to multi-agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Experience with enterprise vector databases like Amazon OpenSearch, Pinecone, or Weaviate.
• Familiarity with LLM fine-tuning, prompt tuning, model evaluation, AI observability, and MLOps/CI-CD pipelines.
• Knowledge of multi-cloud AI platforms (Azure OpenAI, Google Vertex AI).

Work Location & Shift Details

• Work Mode: Hybrid (3 days work from office in Hyderabad preferred, open to PAN India candidates).
• Shift Hours: 12:00 PM – 9:30 PM IST.

Pay: Up to ₹2,100,000.00 per year

Application Question(s):

• How many years of experience do you have in Cloud, AI Architecture, or Solution Development?
• Do you have hands-on experience building Agentic AI applications using Amazon Bedrock, Bedrock Agents, and Guardrails?
• Which active AWS certifications do you hold? (e.g., Solutions Architect, AI Practitioner, Machine Learning Specialty)
• What is your experience with AWS AgentCore, RAG architectures, and Vector Databases?
• What is your current CTC, expected CTC, official notice period, and preferred work location?

Work Location: In person