Principal AI Engineer

Role Overview

The Principal AI Engineer is a hands-on senior technical leader responsible for architecting and enabling AI augmented software engineering across the enterprise. This role drives the adoption of Generative AI, AI code assistants, and agentic workflows to transform the software development lifecycle (SDLC), accelerate engineering productivity, modernize legacy systems, and improve software quality.

What You Will Do

Lead & drive with hands-on coding experience, the enterprise adoption of AI-assisted development practices, integrating tools such as GitHub Copilot, Claude code, and other AI coding assistants into engineering workflows. Design and implement AI-augmented SDLC frameworks, enabling context-driven code generation, automated testing, and intelligent code review.

Why It Might Be a Fit

This role will influence enterprise architecture decisions, engineering productivity strategies, AI governance frameworks, and responsible AI adoption across the organization. The individual will combine deep expertise in cloud-native architecture, distributed systems, and enterprise software development with advanced proficiency in AI-assisted engineering tools and agent frameworks.

Requirements

• 15+ years of experience in software engineering, distributed systems, cloud-native development, or AI-augmented engineering transformation
• Experience leading or contributing to AI-driven SDLC transformation initiatives
• Experience applying AI to improve developer productivity, software quality, legacy modernization, bug remediation, and engineering automation
• Expert knowledge in performance, scalability, distributed architecture, and engineering best practices
• Strong programming skills in an object-oriented language such as Java or C#, python with proven work experience as a full stack developer
• Experience working with modern Javascript frameworks like React and Angular, HTML, and CSS
• Proficient in API fundamentals and best practices, REST API architecture
• In-depth understanding of the entire software development process (design, development and deployment)
• Advanced experience developing and deploying applications for Cloud Native Infrastructure, using CI/CD tools following best practices
• Experience building applications in microservice architecture with API-first mindset
• Collaborates effectively within the agile framework with a problem-solving attitude and willing to take a variety of approaches
• Excellent analytical and time management skills, with a proven ability to deliver cross-organization impact independently
• Proven ability to work cross-functionally, experience with planning and leading complicated technical projects that work with several teams within the company
• Excellent leadership, written and verbal communication skills

Benefits

• remote-first environment
• unlimited paid time off
• 401(k) with employer match