Aws Data Ai Platform Engineer

Title: AWS Data & AI Platform Engineer (Bedrock | EKS | Lambda | Python)

About the Role

We're looking for an experienced AI Platform Engineer to build and operate secure, scalable AI platforms on AWS for a regulated financial services environment. You'll enable generative AI and advanced analytics use cases while meeting high standards for security, compliance, reliability, and operational excellence. This is a hands-on role leading development and deployment of platform components.

Location: Charlotte, NC, Atlanta, GA, Dallas, TX, Phoenix, AZ OR "Tempe, AZ (Hybrid Onsite)

Key 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 meet financial services compliance requirements

Required Skills

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

Preferred Skills

• 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

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