Sr Specialist - Data Sciences

LTM; Kolkata District, Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

LTM in Hyderabad is seeking an experienced AWS Agentic AI Architect to lead design and implementation of agentic AI solutions on AWS Bedrock. You will drive architecture decisions across knowledge bases, agent workflows, and multi-service integrations.

The role requires hands-on expertise with Bedrock, Lambda, API Gateway, and OpenSearch, plus governance and secure, scalable cloud-native AI patterns. Collaboration with stakeholders and mentoring developers is essential.

Qualifications

• Hands-on experience designing Agentic AI solutions on AWS Bedrock.
• Strong knowledge of Guardrails, Knowledge Bases and memory management.
• Proven ability to build KB-driven AI apps with vector stores and RAG.
• Experience with LLM architectures, prompts, and agent workflows.
• Understanding of governance, security and responsible AI.

Responsibilities

• Lead architecture discussions and engineering workshops.
• Design scalable, cost-efficient cloud-native AI solutions on AWS.
• Mentor development teams and ensure quality governance.
• Integrate Bedrock Agents with APIs, databases and business apps.
• Define solution architecture and provide implementation guidance.

Skills

Agentic AI

AWS Bedrock

Foundation Models

Agents & Orchestration

Knowledge Bases

LLM Integration

RAG Architecture

Cloud Architecture

AI Platform Engineering

Generative AI

Education

AWS Certifications

Tools

OpenSearch

Pinecone

LangChain

Vector Databases

AgentCore

Job description

Role AWS Agentic AI Architect AWS Bedrock Specialist Experience 6 Years Location Hyderabad Primary Skills AWS Bedrock Agentic AI Solutions AWS AgentCore Knowledge Bases Intelligent Agent Development Secondary Skills Generative AI RAG Architecture LLM Integration Cloud Architecture AWS Services AI Platform Engineering

Must Have Skills Handson experience in designing and implementing Agentic AI solutions using AWS services Strong expertise in Amazon Bedrock including Foundation Models Agents Guardrails and Knowledge Bases Experience with AWS AgentCore Agent orchestration planning memory and tool integrations Proven experience in building Knowledge Base driven AI applications using vector databases and Retrieval Augmented Generation RAG Strong understanding of LLM architectures prompt engineering agent workflows and autonomous AI systems

Experience integrating Bedrock Agents with enterprise systems APIs databases and business applications Expertise in designing scalable secure and cost optimized cloud native AI solutions on AWS Strong knowledge of AWS services such as Lambda API Gateway S3 DynamoDB OpenSearch ECS EKS IAM and Step Functions Experience implementing governance security compliance and responsible AI practices Ability to define AI solution architecture perform technical assessments and provide implementation guidance

Strong problemsolving and analytical skills with the ability to translate business requirements into AI driven solutions Excellent communication and stakeholder management skills AWS Certification is Mandatory AWS Certified Solutions Architect AWS Certified AI Practitioner AWS Certified Machine Learning Specialty or equivalent certification Good to Have Skills Experience with multiagent systems and advanced AI orchestration frameworks Handson exposure to Lang Chain Lang Graph Crew AI Semantic Kernel AutoGen or similar agent frameworks

Experience building enterprise grade RAG solutions using Amazon OpenSearch Pinecone We aviate or other vector databases

Knowledge of model evaluation observability AI monitoring and performance optimization

Experience with LLM finetuning model customization and prompt optimization techniques

Familiarity with MLOps CICD pipelines and AI application deployment strategies

Experience with data engineering and integrating structured unstructured data sources into AI solutions

Knowledge of Responsible AI governance and compliance frameworks

Exposure to Azure OpenAI Google Vertex AI or other cloud AI platforms

Experience working on enterprise digital transformation and AI modernization initiatives

Understanding of customer experience CX conversational AI chatbot and virtual assistant solutions

Experience leading architecture discussions technical workshops and mentoring development teams Preferred Certifications AWS Certified AI Practitioner AWS Certified Machine Learning Specialty AWS Certified Solutions Architect Associate Professional AWS Certified Developer Associate