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Senior Specialist - Cloud Engineering
LTM
- 🇮🇳 India
- On-site
- Senior
- 4 weeks ago
- AWS
- AWS Bedrock
- Machine Learning
- RAG
- AI
- Amazon Bedrock
- Bedrock
- API Gateway
- DynamoDB
- OpenSearch
- ECS
- EKS
- IAM
- Step Functions
- LangChain
- LangGraph
- CrewAI
- Semantic Kernel
- AutoGen
- Pinecone
- Weaviate
- MLOps
- CI/CD
- Azure OpenAI
- Vertex AI
4 weeks ago
Role :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
Senior Specialist - Cloud Engineering · LTM