Design, build, and secure an enterprise AI platform on AWS. Partner with application and architecture teams. Develop reusable Terraform modules and Infrastructure as Code standards.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Senior AWS AI Platform Engineer (Terraform & Security)
CDW Contract Role
40 hours per week / 6 months
100% remote
CDW is seeking a Senior AWS AI Platform Engineer to help design, build, and secure an enterprise AI platform within a highly regulated financial services environment. This role will focus on cloud architecture, Infrastructure as Code (Terraform), AI service enablement, and security compliance, partnering closely with application, security, and platform teams to deliver scalable AI capabilities across the organization.
Key Responsibilities
- Partner with application and architecture teams to design and evolve an enterprise AI platform on AWS.
- Develop reusable Terraform modules and Infrastructure as Code standards to enable self-service platform consumption across multiple engineering teams.
- Create comprehensive technical documentation, testing frameworks, and deployment standards for platform components.
- Engineer and support AWS-based AI services, including Amazon Bedrock, Amazon SageMaker, and related AI/ML workflows.
- Collaborate with Security teams to implement enterprise hardening standards for AI services and cloud infrastructure.
- Design and implement security controls aligned with financial industry compliance requirements.
- Ensure platform architecture meets governance standards related to NIST and Cloud Security Alliance (CSA) Cloud Controls Matrix (CCM).
- Integrate graph database technologies into AI and data platform solutions where appropriate.
- Drive automation, scalability, reliability, and operational excellence across the AI platform ecosystem.
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Required Qualifications
- Strong 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.
- Prior 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.
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Preferred Qualifications
- 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.
- Experience supporting financial services, banking, insurance, or other highly regulated industries.
What We're Looking For
- Strong platform engineering and cloud architecture mindset.
- Ability to balance innovation with security and compliance requirements.
- Excellent communication and stakeholder management skills.
- Self-driven engineer capable of owning complex technical initiatives from design through implementation.
- Passion for enabling enterprise AI adoption through scalable, secure cloud platforms.
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