Role- AI Platform Engineer (AWS – Financial Services)
Location- Charlotte, NC Hybrid
Job Description:
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
Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)
- Minimum 5+ years of experience building cloud platforms on AWS
- Minimum 2+ years of experience hands-on experience with Amazon Bedrock, EKS/Kubernetes, AWS Lambda, and core AWS networking services
- Minimum 8+ years of experience with Python development experience supporting APIs, AI services, or automation workflows
- Minimum 5+ years of experience designing secure, highly available, and scalable distributed systems
- Minimum 5+ years of experience working in regulated environments such as financial services, banking, or insurance