Be Part Of A Dynamic Team:

Join a mission-driven organization in the mortgage insurance and financial services space, supporting technology initiatives that help lenders and borrowers achieve homeownership. This team values excellence, continuous improvement, collaboration, and practical innovation, with a strong focus on building secure, scalable, enterprise-ready AI solutions.

What's In Store For You:

This is a full-time hybrid opportunity based in Raleigh, NC, with in-office days Tuesday, Wednesday, and Thursday. The role offers exposure to enterprise GenAI platform enablement, AWS cloud engineering, automation, DevOps, governance, and production-scale AI delivery.

How You Will Make An Impact

• Design, build, and operate enterprise-grade GenAI solutions on AWS.
• Support scalable GenAI platform development, deployment, monitoring, and operations.
• Build reusable cloud patterns, APIs, internal tools, and infrastructure to accelerate AI adoption.
• Implement observability, alerting, SLA/SLO tracking, usage metrics, and cost controls.
• Enforce governance around model/version lineage, auditability, approvals, rollback plans, and risk controls.
• Troubleshoot production issues across data, model, and infrastructure layers.

Are you an experienced AI Cloud Engineer ready to make an impact?

• 5+ years of AWS experience across services such as ECR/ECS, Lambda, API Gateway, S3, Glue, Athena, EMR, RDS/Aurora, DynamoDB, CloudWatch, IAM, VPC, WAF, and Bedrock.
• 5+ years of CI/CD experience using CodeBuild, CodePipeline, GitHub Actions, or GitLab.
• 3+ years of Terraform or similar IaC experience, including reusable modules and environment promotion.
• 3+ years of Python, JSON, Bash, and Docker/containerization experience.
• Strong experience with monitoring, incident response, dashboards, runbooks, debugging, and production support.
• Experience with secure coding, resilient application design, TDD/BDD, and automated testing.
• GenAI platform experience with AWS Bedrock, Anthropic Claude, Azure AI Services, or OpenAI is highly preferred.
• Experience in regulated environments with encryption, RBAC, auditing, HIPAA, SOC2, or similar governance standards is a plus.