Systems Engineer 3 - (AI, Terraform, LLMs)

Akina•Annapolis Junction, MD

4d•Onsite

About The Position

This position requires a lead Systems Engineer 3 (SE3) to direct the development of Content Delivery Network (CDN) infrastructure through advanced AI integration. As a technical lead, you will guide an engineering team in utilizing large language models (LLMs) to generate and manage Terraform configurations. A primary focus of this role is understanding AI prompt engineering and identifying the behavioral nuances of various models to ensure highly accurate, production-ready infrastructure code. You will define the strategies for interacting with AI systems, iteratively refining prompts, and establishing rigorous quality control processes for all AI-generated output. Additionally, you will collaborate with engineering management and stakeholders to ensure that the AI-driven infrastructure meets enterprise scalability and security standards.

Requirements

Experience leading software engineering teams and managing technical infrastructure projects.
Experience with prompt engineering, demonstrating a deep understanding of the nuances, capabilities, and limitations of modern LLMs.
Knowledge of Infrastructure as Code (IaC) principles, with practical experience utilizing Terraform for resource deployment.
Experience reviewing, validating, and debugging AI-generated code or infrastructure configurations for production environments.
Knowledge of Content Delivery Network (CDN) concepts and cloud-based hosting environments such as Cloudflare.
Familiarity with Git and Atlassian Tools (Jira, Confluence) to manage team workflows and version control.

Nice To Haves

Experience utilizing prompt management frameworks and AI evaluation metrics to track model performance.
Experience translating and communicating complex AI and infrastructure concepts to non-technical stakeholders and executive leadership.

Responsibilities

Lead the engineering team in leveraging AI tools to design, generate, and deploy CDN infrastructure using Terraform.
Formulate and refine complex AI prompts to consistently produce secure and optimized Infrastructure as Code (IaC).
Evaluate AI-generated outputs for quality and efficiency, adjusting prompting strategies to account for model hallucinations, nuances, and limitations.
Establish best practices, standardized workflows, and review processes for the team regarding AI interaction and prompt engineering.
Collaborate with stakeholders to define architectural requirements and translate them into effective AI directives.