AgenticAI Architect

Key Responsibilities:

• 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

Technical Requirements:

• 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

Preferred Skills:

Technology->Machine Learning->Python,Technology->Machine Learning->TensorFlow,Technology->Oracle Cloud->WMS Cloud->Logistics Cloud