AI Platform Engineer (AWS - Financial Services)

We are seeking an experienced AI Platform Engineer to design, build, and operate secure, scalable AI platforms on AWS within a highly regulated financial services environment. The ideal candidate will have strong expertise in AWS cloud services, Amazon Bedrock, Kubernetes/EKS, Python development, and enterprise-grade platform engineering., * Design, build, and operate secure and scalable AI platforms on AWS.

• Develop and manage Generative AI solutions using Amazon Bedrock.
• Build and support containerized AI services on Amazon EKS.
• Develop Python-based AI inference and orchestration workloads.
• Implement serverless AI workflows using AWS Lambda and API Gateway.
• Configure secure networking and access controls using VPC, IAM, and private endpoints.
• Integrate AWS services such as S3, DynamoDB, messaging, and streaming platforms to support AI pipelines and RAG architectures.
• Establish CI/CD pipelines, monitoring, logging, and operational controls.
• Collaborate with Security, Architecture, Risk, and Compliance teams to ensure adherence to financial services regulations.

• 8+ years of Python development experience supporting APIs, AI services, or automation workflows.
• 5+ years of experience building cloud platforms on AWS.
• 5+ years of experience designing secure, highly available, and scalable distributed systems.
• 5+ years of experience working within regulated industries such as Financial Services, Banking, or Insurance.
• 2+ years of hands-on experience with:
• Amazon Bedrock
• Amazon EKS / Kubernetes
• AWS Lambda
• AWS Networking Services (VPC, IAM, Private Endpoints)

Education

• Bachelor’s Degree in Computer Science, Engineering, or equivalent practical experience.

Preferred Qualifications

• Experience supporting AI/ML or Generative AI platforms in production environments.
• Knowledge of model governance, data security, auditability, and access controls.
• Experience with Infrastructure as Code (Terraform, CloudFormation, or AWS CDK).
• Experience with CI/CD pipelines and enterprise production operations.

Work Model

• Hybrid role requiring onsite presence in Charlotte, NC three days per week.
• Minimal travel required.