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Software Engineer
Job #: 102462
Details
7/31/2026 5:43:14 PM
Onsite Contract Position for AWS Data & AI Platform Engineer (14+ Years IT Exp) in Charlotte, NC (Hybrid)
Locations: Charlotte, NC (Hybrid) Duration: Contract Job Description: * 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 Travel: Minimal travel required; ability to support client stakeholders in regulated environments as needed. 3 days per week in client office. Degree: Bachelor’s degree in Computer Science, Engineering, or equivalent work experience Nice to Have; (But not a must) * 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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