AI Platform Engineer (AWS – Financial Services)

Kyyba•Charlotte, NC

3d•Hybrid

About The Position

Kyyba is seeking an AI Platform Engineer with AWS experience in the Financial Services sector. The role involves designing, building, and operating secure, scalable AI platforms on AWS, including developing and managing generative AI solutions using Amazon Bedrock and containerized AI services on Amazon EKS. The engineer will also build serverless AI workflows, implement secure networking, integrate data services for AI pipelines and RAG architectures, and establish CI/CD, monitoring, logging, and operational controls aligned with enterprise and regulatory standards. Collaboration with security, architecture, and risk teams is essential to ensure compliance with financial services requirements. This is a long-term assignment with the opportunity for hire by the client.

Requirements

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
Bachelor's degree in Computer Science, Engineering, or equivalent work experience

Nice To Haves

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

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