AWS Data & AI Platform Engineer
Charlotte, NC (Hybrid – 3 days/week in client office)
Job Description:
Design, build, and operate secure, scalable AI platforms on AWS for enterprise and regulated financial services environments.
Day-to-Day Responsibilities:
- 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 (S3, DynamoDB, messaging/streaming platforms) to enable AI pipelines and RAG architectures
- Establish CI/CD, monitoring, logging, and operational controls aligned to enterprise/regulatory standards
- Collaborate with security, architecture, and risk teams to ensure compliance with financial services requirements
Basic Qualifications:
- 5+ years building cloud platforms on AWS
- 2+ years hands-on with Amazon Bedrock, EKS/Kubernetes, AWS Lambda, and core AWS networking services
- 8+ years Python development supporting APIs, AI services, or automation workflows
- 5+ years designing secure, highly available, scalable distributed systems
- 5+ years working in regulated environments (financial services, banking, or insurance)
Nice to Have:
- 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
