Senior Specialist - Data Sciences

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

Hands on 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 problem solving 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

AWS Certified AI Practitioner

AWS Certified Machine Learning Specialty

AWS Certified Solutions Architect Associate Professional

AWS Certified Developer Associate