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# AWS AI Platform Engineer

- **Company:** Insight Global
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $91,520.0 - $114,400.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Audit Trail, Cloud Computing, Cloud Computing Security, Continuous Integration, Data as a Services, Data Security, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Systems Integration, Data Logging, AWS Lambda, Amazon Virtual Private Cloud (VPC), Cloudformation, Event Driven Architecture, AI Platforms, Kubernetes, Machine Learning Operations, Api Gateway, Terraform, Automation Anywhere, Serverless Computing
- **Published:** August 3, 2026
- **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/texas/dallas/aws-ai-platform-engineer/job-558236/

## About the Role

5+ years of experience building cloud platforms on AWS
Hands on experience with Amazon Bedrock, EKS/Kubernetes, AWS Lambda, and core AWS networking
Strong Python development experience for APIs, AI services, or automation
Experience designing secure, highly available, and scalable systems
Ability to work 3 days per week onsite in one of the following: Charlotte, Minneapolis, Cincinnati, Atlanta, or Dallas

Nice to Have Skills & Experience

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
Familiarity with regulated environments (financial services, banking, insurance, or similar)

## Description

We are seeking an experienced AI Platform Engineer to build and operate secure, scalable AI platforms on AWS for regulated financial services environments. This role focuses on enabling generative AI and advanced analytics use cases while meeting high standards for security, compliance, reliability, and operational excellence.
Responsibilities
Design, build, and support AI platforms on AWS using Amazon Bedrock for generative AI and model integration
Develop and operate containerized AI services on Amazon EKS, supporting Python based inference and orchestration workloads
Build serverless AI workflows using AWS Lambda, API Gateway, and event driven architectures
Implement secure cloud networking and access controls using VPC, IAM, private endpoints, and service networking
Integrate data services (S3, DynamoDB, messaging/streaming) to support AI pipelines and RAG style architectures
Establish CI/CD, monitoring, logging, and operational controls aligned to enterprise and regulatory standards
Partner with security, architecture, and risk teams to ensure compliance with financial services requirements


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