Data - AI Platform Engineer (AWS)

Day to Day job Duties: • 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 Basic Qualifications: (what are the skills required to this job with minimum years of experience on each) • 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