Hybrid Role – Charlotte, NC | AI Platform Engineer with Strong AWS

Role: AWS Data & AI Platform Engineer

Location: Hybrid in Charlotte, NC,3 days per week in client office.

Duration: 6+ months

Job Description: AI Platform Engineer (AWS – Financial Services) Day to Day job Duties: (what this person will do on a daily/weekly basis) Design, build, and operate secure, scalable AI platforms on AWS for enterprise and regulated environments Develop and manage generative AI solutions using Amazon Bedrock for model integration and deployment Build and operate containerized AI services on Amazon EKS supporting Python-based inference and orchestration workloads Develop serverless AI workflows using AWS Lambda, API Gateway, and event-driven architectures Implement secure networking and access controls using VPC, IAM, and private endpoints Integrate data services such as S3, DynamoDB, and messaging/streaming platforms to enable AI pipelines and RAG architectures Establish CI/CD, monitoring, logging, and operational controls aligned to enterprise and regulatory standards Collaborate with security, architecture, and risk teams to ensure compliance with financial services requirements

Travel: Minimal travel required; ability to support client stakeholders in regulated environments as needed.

Degree: Bachelor’s degree in Computer Science, Engineering, or equivalent work experience Nice to Have; (But not a must) Experience supporting AI/ML or generative AI platforms in production Knowledge of data security, model governance, auditability, and access controls Experience with Infrastructure as Code (Terraform, CloudFormation, or CDK) Exposure to CI/CD pipelines and production operations in enterprise environments.