AI Cloud Engineer
Hybrid · Raleigh, North Carolina, United States
EXPIREDRaleigh, North Carolina, United StatesHybridFull TimeMid LevelBachelors DegreeEnterprise
Type
Full Time
Level
Mid Level
Education
Bachelors Degree
Company size
Enterprise
Job Summary
As an AI Cloud Engineer at Enact, you will design, build, and operate AI solutions on AWS, working with cross-functional teams to deliver high-impact GenAI solutions. Your responsibilities include engineering secure and scalable AI capabilities, implementing CI/CD pipelines, and collaborating with teams to streamline adoption of GenAI services. The role requires a strong background in AWS and automation tools.
Required Qualifications
- 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, CloudWatch, IAM, VPC, WAF, Bedrock
- 5+ years experience with CI/CD: CodeBuild/CodePipeline or GitHub Actions/GitLab; 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, 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
Desired Qualifications
- 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.)
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