Job Description
We are seeking a visionary Principal AI Architect to lead the technical direction of our flagship Project 2026 initiative. This is a ground-floor opportunity to architect the neural infrastructure that will define the next decade of human-machine interaction.
In this role, you will bridge the gap between theoretical AI research and scalable production systems. You will work with a world-class team of engineers and data scientists to deploy cutting-edge Large Language Models (LLMs) and autonomous agents. If you are passionate about building the future and thrive in a high-velocity, innovative environment, we want to hear from you.
Why Join Us?
- Work on a $2B+ strategic roadmap with direct executive visibility.
- Competitive compensation and equity package.
- Unlimited PTO and top-tier health benefits.
- State-of-the-art hardware and research facilities.
Responsibilities
- Lead System Architecture: Design and implement the end-to-end technical architecture for Project 2026, ensuring scalability, security, and high availability.
- AI Strategy: Define the AI/ML strategy, selecting the optimal frameworks (TensorFlow, PyTorch, JAX) and hardware accelerators for next-gen processing.
- Team Mentorship: Mentor senior engineers and junior developers, fostering a culture of technical excellence and innovation.
- Roadmap Execution: Drive the delivery of key milestones within the 2026 roadmap, managing technical debt and architectural debt.
- Cross-Functional Collaboration: Partner with product, design, and business stakeholders to translate complex technical requirements into actionable development plans.
- Research Integration: Evaluate emerging AI research papers and technologies, determining their viability for integration into our core platforms.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent extensive industry experience).
- Experience: 10+ years of experience in software engineering, with at least 5 years in a senior architectural or lead engineering role.
- Technical Stack: Deep proficiency in Python, C++, and distributed systems. Experience with Kubernetes, AWS, or Google Cloud Platform.
- AI/ML Expertise: Proven track record of designing and deploying production-grade Machine Learning models and Neural Networks.
- Leadership: Demonstrated ability to lead cross-functional teams and manage complex technical projects from conception to launch.
- Problem Solving: Exceptional analytical skills with a focus on solving ambiguous, high-stakes problems.