AWS Architect
Sarvesh UpadhyayUnited StatesMIDPosted 6d ago
AWSPythonAmazon SageMakerMLOpsTerraformCI/CDDevOpsIAMAWS BedrockLangGraphModel Context Protocol
About the Role
We are looking for an AWS Architect to join our team. This role focuses on designing and implementing robust cloud solutions using AWS services.
Key Responsibilities
• Design and implement RESTful APIs
• Lead code reviews and mentor junior developers
• Collaborate with product team on technical requirements
Requirements
• AWS Certified Machine Learning Engineer – Associate
• AWS Certified AI Practitioner
• AWS Certified Machine Learning – Specialty (MLS-C01)
• Python (3.11+): Hands-on experience building robust applications and agentic logic.
• Amazon SageMaker Unified Studio (SMUS) & MLOps: Hands-on experience with SMUS to manage the end-to-end ML lifecycle.
• Infrastructure as Code (IaC): Production-level expertise using Terraform to provision AWS services.
• CI/CD & DevOps: Proven track record in building and maintaining automated deployment pipelines.
• AWS Security & Identity: Deep experience with IAM for fine-grained permissions and secure service communication.
• AWS Bedrock AgentCore: Familiarity with the latest ecosystem, specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers.
• Multi-Agent Orchestration: Experience building or enabling collaborative systems using frameworks like LangGraph, strands, etc.
• Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents.