AWS AgenticAI Lead
- Source: Naukri
- Talent Smart Soft Solutions
- Hybrid
- Bengaluru
- Full-Time
- Senior
Job Description
Role & responsibilities
AWS Agentic AI Engineer
- Experience: 9+ years in AWS Cloud & 3+ years in Agentic AI/Generative AI.
- Strong expertise in Amazon Bedrock, AWS AgentCore, SageMaker.
- Design and develop Agentic AI, Multi-Agent Systems, and LLM-based applications.
- Hands-on experience with RAG (Retrieval-Augmented Generation) and Vector Databases.
- Experience with LangChain, LangGraph, CrewAI, LlamaIndex, Bedrock Agents, MCP.
- Strong knowledge of AWS Lambda, API Gateway, Step Functions, EventBridge, DynamoDB, S3, ECS/EKS.
- Proficiency in Python (Java/JavaScript/SQL is a plus).
- Experience with CI/CD, Docker, Kubernetes, Terraform, CloudFormation, Jenkins, GitHub Actions.
- Knowledge of AI Governance, Responsible AI, Security, Observability, and Prompt Engineering.
- Experience integrating AI solutions with enterprise applications and APIs.
- Optimize AI applications for performance, scalability, reliability, and cost.
- Strong communication, leadership, and mentoring skills.
Preferred Certifications
- AWS Certified Solutions Architect Professional
- AWS Certified Machine Learning Engineer
- AWS Certified AI Practitioner
Skills
- amazon-web-services
- bedrock
- amazon-sagemaker
- LangChain
- LangGraph
- crewai
- LlamaIndex
- aws-lambda
- amazon-api-gateway
- aws-step-functions
- amazon-eventbridge
- amazon-dynamodb
- amazon-s3
- amazon-ecs
- amazon-eks
- Python
- Java
- javascript
- Docker
- Kubernetes
- Terraform
- Jenkins
- Github
- github-actions
- amazon-machine-learning
