AWS Data & AI Platform Engineer

• 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