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

Vivid Soft Global

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