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 Must Have Skills 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 Preferred Certifications AWS Certified AI Practitioner AWS Certified Machine Learning Specialty AWS Certified Solutions Architect Associate Professional AWS Certified Developer Associate