AWS Data & AI Platform Engineer

JOB SUMMARY Design, build, and operate secure, scalable AI platforms on AWS for enterprise and regulated environments. Develop and manage generative AI solutions using Amazon Bedrock for model integration and deployment. Build and operate containerized AI services on Amazon EKS supporting Python-based inference and orchestration workloads. Develop serverless AI workflows using AWS Lambda, API Gateway, and event-driven architectures. Implement secure networking and access controls using VPC, IAM, and private endpoints. Integrate data services such as S3, DynamoDB, and messaging/streaming platforms to enable AI pipelines and RAG architectures. Establish CI/CD, monitoring, logging, and operational controls aligned to enterprise and regulatory standards. Collaborate with security, architecture, and risk teams to ensure compliance with financial services requirements. Key Responsibilities Design, build, and operate secure, scalable AI platforms on AWS for enterprise and regulated environments Develop and manage generative AI solutions using Amazon Bedrock for model integration and deployment Build and operate containerized AI services on Amazon EKS supporting Python-based inference and orchestration workloads Develop serverless AI workflows using AWS Lambda, API Gateway, and event-driven architectures Implement secure networking and access controls using VPC, IAM, and private endpoints Integrate data services such as S3, DynamoDB, and messaging/streaming platforms to enable AI pipelines and RAG architectures Establish CI/CD, monitoring, logging, and operational controls aligned to enterprise and regulatory standards Collaborate with security, architecture, and risk teams to ensure compliance with financial services requirements Required Qualifications Minimum 5+ years of experience building cloud platforms on AWS Minimum 2+ years of experience hands-on experience with Amazon Bedrock, EKS/Kubernetes, AWS Lambda, and core AWS networking services Minimum 8+ years of experience with Python development experience supporting APIs, AI services, or automation workflows Minimum 5+ years of experience designing secure, highly available, and scalable distributed systems Minimum 5+ years of experience working in regulated environments such as financial services, banking, or insurance Degree Bachelors degree in Computer Science, Engineering, or equivalent work experience 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 Education: Bachelors Degree