AWS Cloud Platform & AI Engineer

AWS AI & Cloud Engineering – Enterprise AI Platform
Experience: 5+ Years
Location: Remote
Employment Type: Full-Time
About the Role: -
We are looking for experienced AWS professionals to join an enterprise AI Platform Engineering program focused on building a secure, scalable, and governed Agentic AI Platform on AWS.
The program involves AWS AgentCore, Amazon Bedrock, AI platform architecture, MCP integrations, cloud automation, DevOps/MLOps, security, governance, and enterprise AI use cases.
Key Positions: -
AWS AI/Cloud Architect & POD Lead
AWS AgentCore Engineer
AWS Platform Engineer
AI Integration Engineer
Senior DevOps/MLOps Engineer
Key Responsibilities: -
Design and implement enterprise-grade AI platforms on AWS using Amazon Bedrock and AgentCore.
Build secure AI landing zones with identity, governance, security, guardrails, and policy controls.
Develop reusable AWS CDK/IaC templates, platform services, deployment patterns, and environment automation.
Build and manage AI agent runtimes, registries, integrations, scaling, and lifecycle management.
Implement MCP-based integrations with enterprise applications and business systems.
Establish CI/CD, observability, versioning, rollback, monitoring, and FinOps controls.
Integrate AI solutions with enterprise identity, security, and governance frameworks.
Support production deployment and onboarding of business-aligned AI/Agentic AI use cases.
Collaborate with AWS ProServe and customer teams on technical delivery, knowledge transfer, and platform enablement.
Key Skills: -
AWS | Amazon Bedrock | AWS AgentCore | Agentic AI | AI/ML Concepts | MCP | AWS CDK | Infrastructure as Code | DevOps/MLOps | CI/CD | CloudWatch | CloudTrail | OpenTelemetry | Security & Governance | Identity & Access Management | FinOps
Important: Candidates should have practical understanding of AI/Agentic AI concepts and their application on AWS, in addition to their respective cloud, platform, integration, or DevOps expertise.

Work arrangement
Yes