Role:AWS AI Engineer

Location:Charlotte,NC(Hybrid)||Re-location Also Fine||

Exp:12+(Years)

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 architecturesImplement 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

Required Qualifications

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 automationExperience designing secure, highly available, and scalable systems

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

Preferred Qualifications

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