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# AWS Data & AI Platform Engineer

- **Company:** VDart, Inc.
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Audit Trail, Continuous Integration, Data as a Services, Data Security, Distributed Systems, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Network Security, Systems Integration, Data Logging, AWS Lambda, Amazon Virtual Private Cloud (VPC), Cloudformation, Event Driven Architecture, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Api Gateway, Terraform, Automation Anywhere, Serverless Computing
- **Published:** August 1, 2026
- **Apply:** https://www.dice.com/job-detail/35b48180-a319-4f0e-8403-f1431d6b884b

## About the Role

* 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

Travel:

 * Minimal travel required; ability to support client stakeholders in regulated environments as needed. 3 days per week in client office.

Degree:

 * Bachelor's degree in Computer Science, Engineering, or equivalent work experience
 * Nice to Have; (But not a must)
 * 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

## Description

* 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


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