Senior Specialist - Cloud Engineering
LTIMindtree · IT Services & Consulting
- Hyderabad, India
- On-site
- Posted today
- IT & Infrastructure
About the job
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