> Markdown version of [/jobs/ext/451755-ai-platform-engineer-aws-financial-services](https://www.wearedevelopers.com/jobs/ext/451755-ai-platform-engineer-aws-financial-services). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Platform Engineer (AWS - Financial Services)

- **Company:** Usg 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, Cloud Computing, Data Security, Distributed Systems, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Network Security, AWS Cdk, Data Logging, Generative AI, AWS Lambda, Amazon Virtual Private Cloud (VPC), Cloudformation, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Api Gateway, Terraform, Automation Anywhere, Serverless Computing
- **Published:** June 1, 2026
- **Apply:** https://www.dice.com/job-detail/eef4f64c-a0a0-4b74-999e-a1df74a087f3

## About the Role

* 8+ years of Python development experience supporting APIs, AI services, or automation workflows.
 * 5+ years of experience building cloud platforms on AWS.
 * 5+ years of experience designing secure, highly available, and scalable distributed systems.
 * 5+ years of experience working within regulated industries such as Financial Services, Banking, or Insurance.
 * 2+ years of hands-on experience with:
 + Amazon Bedrock
 + Amazon EKS / Kubernetes
 + AWS Lambda
 + AWS Networking Services (VPC, IAM, Private Endpoints)

Education

 * Bachelor's Degree in Computer Science, Engineering, or equivalent practical experience.

Preferred Qualifications

 * Experience supporting AI/ML or Generative AI platforms in production environments.
 * Knowledge of model governance, data security, auditability, and access controls.
 * Experience with Infrastructure as Code (Terraform, CloudFormation, or AWS CDK).
 * Experience with CI/CD pipelines and enterprise production operations.

Work Model

 * Hybrid role requiring onsite presence in Charlotte, NC three days per week.
 * Minimal travel required.

## Description

We are seeking an experienced AI Platform Engineer to design, build, and operate secure, scalable AI platforms on AWS within a highly regulated financial services environment. The ideal candidate will have strong expertise in AWS cloud services, Amazon Bedrock, Kubernetes/EKS, Python development, and enterprise-grade platform engineering., * Design, build, and operate secure and scalable AI platforms on AWS.

 * Develop and manage Generative AI solutions using Amazon Bedrock.
 * Build and support containerized AI services on Amazon EKS.
 * Develop Python-based AI inference and orchestration workloads.
 * Implement serverless AI workflows using AWS Lambda and API Gateway.
 * Configure secure networking and access controls using VPC, IAM, and private endpoints.
 * Integrate AWS services such as S3, DynamoDB, messaging, and streaming platforms to support AI pipelines and RAG architectures.
 * Establish CI/CD pipelines, monitoring, logging, and operational controls.
 * Collaborate with Security, Architecture, Risk, and Compliance teams to ensure adherence to financial services regulations.


## Related Videos

- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)
- [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon)
- [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed)
- [Building Reliable Serverless Applications with AWS CDK and Testing](https://www.wearedevelopers.com/videos/812-building-reliable-serverless-applications-with-aws-cdk-and-testing)
- [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform)
- [The power of Cloud Development Kit (CDK): How to get the most out of it](https://www.wearedevelopers.com/videos/740-the-power-of-cloud-development-kit-cdk-how-to-get-the-most-out-of-it)

## Related Articles

- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)
- [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)