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Sr Specialist - Cloud Engineering

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Onsite

Sr Specialist - Cloud Engineering

LTM

Sr Specialist - Cloud Engineering

Skills

Data EngineeringDynamoDBAWS LambdaMachine LearningAIAWSComplianceDigital TransformationAzure

14 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job highlights

  • Experience building enterprisegrade RAG solutions using Amazon OpenSearch Pinecone Weaviate or other vector databases.
  • Experience with LLM finetuning model customization and prompt optimization techniques.
  • Experience with data engineering and integrating structuredunstructured data sources into AI solutions.

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 <

    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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