- Design and implement AgenticAI solutions using cutting edge frameworks e
- g
- AWS Bedrock Agentcore Strands
- Develop scalable and modular Python applications for deploying Agentic AI solutions
- Build and manage cloud infrastructure using AWS services S3 Lambda DynamoDB ECS EKS
- Automate infrastructure provisioning and configuration using Terraform
- Collaborate with data scientists ML engineers and product teams to integrate AI models into domain specific applications
- Ensure production grade scalability reliability and security of AgenticAI systems
- Monitor and optimize system performance using tools for AgenticAI systems
- Stay updated with advancements in AgenticAI GenAI cloud computing MLOps and DevOps
- Contribute to code reviews documentation and Python development best practices
- Strong Python proficiency
- Hands on experience with GenAI frameworks such as AWS bedrock Strands bedrock Crew LangChain LangGraph and Prompt Engineering
- Proficient in AWS cloud services and cloud native architecture
- Skilled in Infrastructure as Code IaC using Terraform
- Familiar with CI CD pipelines Docker and Kubernetes
- Familiarity with responsble AI code quality tools and open source security compliance
- Solid understanding of security best practices in cloud and AI deployments
- Excellent analytical and communication skills
- Should be able to network within GenAI team and with other teams as enablement tribe
- Knowledge of architectural design patterns performance tuning database and functional designs
- Hands on experience in Service Oriented Architecture
- Ability to lead solution development and delivery for the design solutions
- Experience in designing high level and low level documents is a plus
- Good understanding of SDLC is a pre requisite
- Awareness of latest technologies and trends
- Logical thinking and problem solving skills along with an ability to collaborate
Technology->Architecture->Architecture - ALL,Technology->Machine Learning->Generative AI