AgenticAI Architect

Fresher

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Job Description

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
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.