Agentic AI Solutions Architect

AgenticAI Architect

• 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 • 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.