Senior Specialist - Cloud Engineering

LTIMindtree · Hyderabad

Source and collection record

Last observed by our collector: 8 October 2026 at 11:41 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 893903

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Collected role description

Key Skills: AWS ,Agentic AI, AWS Bedrock Specialist Experience:8-12 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 MustHave 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 Basedriven AI applications using vector databases and RetrievalAugmented 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 costoptimized cloudnative 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 AIdriven 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 GoodtoHave Skills Experience with multiagent systems and advanced AI orchestration frameworks  Handson exposure to LangChain LangGraph CrewAI Semantic Kernel AutoGen or similar agent frameworks  Experience building enterprisegrade RAG solutions using Amazon OpenSearch Pinecone Weaviate 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 structuredunstructured data sources into AI solutions  Knowledge of Responsible AI 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 AssociateProfessional AWS Certified Developer Associate

Collected experience requirement

8 - 12 Years