What are the responsibilities and job description for the AWS Data & AI Platform Engineer position at USG, Inc.?
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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