DevOps AI Cloud Engineer / Onsite in Raleigh, NC

This Raleigh-based organization is seeking a Hybrid AI Cloud Engineer (DevOps-focused) to join a small but rapidly growing team, working onsite 3 days per week. This role blends modern DevOps practices with cutting-edge Generative AI, leveraging technologies such as AWS, Terraform, Kubernetes (EKS), Jenkins CI/CD, and Amazon Bedrock.

The position is ideal for a mid-level engineer who is eager to deepen their experience in AI infrastructure while contributing to a highly impactful platform buildout.

This is a unique opportunity to work directly alongside early AI/ML hires, helping shape the organization’s cloud and AI strategy from the ground up. The engineer in this role will drive real innovation—building scalable systems that operationalize AI, integrating LLMs into production environments, and enabling automation across the business.

Strong learning agility, curiosity around AI tooling, and a hands-on mindset will set candidates apart.

Required Skills & Experience

• 3–6+ years of experience in DevOps, Cloud Engineering, or similar
• Strong experience with AWS cloud services
• Infrastructure as Code expertise with Terraform
• Experience with containerization (Docker) and orchestration via Kubernetes / EKS
• CI/CD pipeline experience, preferably with Jenkins
• Hands-on exposure to Generative AI tools (e.g., Amazon Bedrock, OpenAI APIs, or similar)
• Experience working with or integrating Large Language Models (LLMs)
• Ability to deploy, manage, and scale cloud-native systems
• Strong understanding of system reliability, monitoring, and automation
• Solid communication skills and ability to work in a collaborative team environment

Desired Skills & Experience

• Experience building or contributing to MLOps platforms or AI infrastructure
• Exposure to AI governance, compliance, or regulatory frameworks
• Familiarity with Python or similar scripting languages for automation
• Experience building or deploying AI agents or GenAI-based applications
• Knowledge of security best practices in cloud and AI environments
• Startup or early-stage team experience (comfort with ambiguity and rapid change)

What You Will Be Doing

Tech Breakdown

• 60% DevOps / Cloud Infrastructure (AWS, Terraform, Kubernetes, CI/CD)
• 40% AI/ML Integration & Platform Development (Bedrock, LLMs, GenAI tools)

Daily Responsibilities

• 40% Designing and building scalable AI platform infrastructure
• 30% Implementing and optimizing CI/CD pipelines and cloud environments
• 20% Integrating and deploying AI/GenAI solutions and LLM-based applications
• 10% Staying current with AI regulations, governance, and best practices

The Offer

• 15% annual bonus
• Hybrid work model (Raleigh – onsite 3 days/week)
• Opportunity to join a growing AI-focused team at an early stage
• Work on high-impact, cutting-edge AI and cloud initiatives