Description

Design, build, and maintain an enterprise-grade AI platform on AWS, enabling self-service infrastructure for multiple engineering teams.

This role is remote.

Responsibilities

• Develop reusable Terraform modules and Infrastructure as Code standards to support self-service platform consumption.
• Engineer and support AWS-based AI services, including Amazon Bedrock and Amazon SageMaker, alongside related AI/ML workflows.
• Collaborate with Security teams to implement enterprise hardening standards and security controls for AI services and cloud infrastructure.
• Ensure platform architecture meets governance standards aligned with NIST and Cloud Security Alliance (CSA) Cloud Controls Matrix (CCM).
• Create comprehensive technical documentation, testing frameworks, and deployment standards for platform components.

Required Skills

• 5+ years of enterprise experience designing and engineering solutions within AWS cloud environments.
• Hands-on experience with Amazon Bedrock, Amazon SageMaker, or similar cloud-based AI/ML services.
• Advanced Terraform expertise, including development of reusable modules and enterprise-scale Infrastructure as Code frameworks.
• Experience designing and integrating graph database solutions.
• Experience supporting regulated environments with compliance requirements aligned to NIST and/or Cloud Security Alliance CCM frameworks.
• Strong understanding of cloud security, governance, risk management, and platform hardening practices.
• Experience collaborating across architecture, application development, security, and infrastructure teams.

Preferred Skills

• Experience building AI platforms, GenAI environments, or ML infrastructure at scale.
• Knowledge of AWS security services and cloud-native governance frameworks.
• Familiarity with CI/CD pipelines, DevOps practices, and platform engineering concepts.

Key Skills

Education

Any Gradute