AWS Data & AI Platform Engineer

Title: AI Platform Engineer (AWS – Financial Services)
Location: Hybrid – Charlotte, NC (3 days/week in client office)
 

Day to Day Job Duties:

• 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

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 of Python development supporting APIs, AI services, or automation workflows
• 5+ years designing secure, highly available, distributed systems at scale
• 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

Degree: Bachelor's in Computer Science, Engineering, or equivalent work experience

Travel: Minimal; 3 days/week in client office, ability to support stakeholders as needed

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