AI Cloud Engineer

Enact is looking for an AI Cloud Engineer in Raleigh, NC to design, build, and operate AI solutions on AWS, collaborating across data science, engineering and product teams to deliver high‑impact GenAI solutions.

Enact Headquarters, Raleigh, NC – Hybrid Schedule

• GenAI Platform Enablement:
  Support the development, implementation, scalability and operations of enterprise‑grade GenAI platforms.
• Engineering:
  Engineer robust, secure, governed, and reusable GenAI capabilities and patterns across the business leveraging best practices in architecture, automation, and Dev Ops.
• Collaboration:
  
  Contribute to the development and engineering of internal tools, APIs, and infrastructure to streamline adoption of GenAI services across the organization.
• Observability & Quality:
  Implement end‑to‑end monitoring, alerting SLA/SLOs, metrics, and cost governance.
• Governance & Risk:
  Enforce model/version lineage, reproducibility, approvals, rollback plans, auditability, and cost controls aligned to enterprise policies.
• Partner & Mentor:
  Collaborate with on‑shore/off‑shore teams; work with key stakeholders on packaging, testing, and performance; contribute to standards and reviews.
• Hands‑on Delivery:
  Prototype new patterns and solutions; troubleshoot production issues across data, model, and infrastructure layers.

• Bachelor’s degree in computer science, information technology, cloud engineering or similar field.
• 5+ years experience in AWS Foundations: ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, Cloud Watch, IAM, VPC, WAF, Bedrock.
• 5+ years experience with CI/CD:
  Code Build/Code Pipeline or Git Hub Actions/Git Lab; blue/green, canary, and shadow deployments for models and services.
• 3+ years experience with IaC & Platforms:
  Terraform (preferred), parameterized modules, environment promotion, tagging, and cost governance.
• 3+ years experience in Python, JSON, bash; strong containerization with Docker.
• Proven ability to perform unit/integration tests for accuracy, KPIs, usage metrics, and adoption.
• Demonstrated operational mindset with experience in incident response for model services, SLOs, dashboards, runbooks; strong debugging across data, model, and infra layers.
• Clear communication, collaborative mindset, and a bias to automate & document.
• Experience with resilient application design and secure coding practices.
• Experience using test‑driven (TDD) or behavior‑driven (BDD) development.
• Experience with enterprise‑grade GenAI platforms such as AWS Bedrock (Anthropic Claude), MS Azure AI Services (OpenAI/ChatGPT).
• Experience adhering to and implementing data security and governance best practices in a highly regulated environment (encryption, RBAC, auditing, regulatory standards – HIPAA, SOC2, etc.).

We are proud to be an equal opportunity employer and all hiring decisions are based on merit, qualifications, and business needs. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.