AI Cloud Engineer

Senior AI Cloud Engineer (Hybrid - North Carolina)


A rapidly growing enterprise technology organization is seeking a Senior AI Cloud Engineer to help build and scale next-generation AI and cloud solutions in a highly regulated environment. This role will focus on deploying enterprise-grade GenAI capabilities, improving cloud infrastructure, and enabling AI adoption across the business through scalable engineering practices.


This is an opportunity to join a newly expanding AI and platform engineering team responsible for operationalizing AI initiatives at scale while partnering closely with engineering, data, product, and infrastructure teams.

Responsibilities

• Design, deploy, and maintain scalable AI and cloud infrastructure solutions in AWS
• Build and support enterprise GenAI platforms and reusable AI engineering frameworks
• Develop and manage CI/CD pipelines for AI and cloud services
• Automate infrastructure provisioning using Infrastructure as Code (Terraform preferred)
• Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications and workflows
• Implement monitoring, observability, governance, and cost optimization practices across AI systems
• Support containerized deployments and cloud-native application architectures
• Troubleshoot production issues across infrastructure, applications, and AI/model services
• Contribute to best practices around security, automation, resiliency, and cloud operations

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
• 5+ years of experience building and supporting AWS cloud environments
• Strong experience with AWS services such as ECS/ECR, Lambda, API Gateway, S3, RDS/Aurora, DynamoDB, IAM, VPC, CloudWatch, and related services
• Hands-on experience with CI/CD pipelines using GitHub Actions, GitLab, Jenkins, or similar tools
• Experience with Infrastructure as Code using Terraform or equivalent tooling
• Strong scripting/programming skills in Python and Bash
• Experience with Docker and containerized deployments
• Strong understanding of cloud security, governance, monitoring, and operational best practices
• Ability to work collaboratively in fast-paced, cross-functional environments

Preferred Experience

• Experience supporting or deploying GenAI/LLM platforms
• Exposure to AWS Bedrock, OpenAI, Azure AI Services, or similar AI ecosystems
• Experience working within highly regulated enterprise environments
• Familiarity with AI governance, model life-cycle management, and operational monitoring
• Understanding of secure application design and modern DevOps practices

Additional Information

• Hybrid work environment based in North Carolina
• Strong emphasis on innovation, collaboration, and scalable engineering
• Opportunity to help shape AI platform strategy and enterprise AI adoption
• Competitive compensation package and long-term growth potential