AI Platform Engineer (AWS - Financial Services)

Usg Inc.
Charlotte, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Charlotte, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Audit Trail
Cloud Computing
Data Security
Distributed Systems
Amazon DynamoDB
Identity and Access Management
Python
Network Security
Amazon Web Services (AWS)
Data Logging
Generative AI
AWS Lambda
Amazon Web Services (AWS)
Cloudformation
AI Platforms
Kubernetes
Information Technology
Machine Learning Operations
Api Gateway
Terraform
Automation Anywhere
Serverless Computing

Job 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.

Requirements

  • 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.

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