Job Description
We are seeking a visionary Principal AI Architect to lead our 2026 roadmap. At QuantumLeap Systems, we are not just building software; we are architecting the future of cognitive computing. As we approach the 2026 era, we need a technical leader who can bridge the gap between theoretical AI advancements and scalable, production-grade infrastructure.
In this role, you will define the technical strategy for our next-generation neural network infrastructure, ensuring our systems are resilient, ethical, and capable of handling the exponential growth of data. You will work closely with executive leadership to drive innovation and mentor a team of world-class engineers.
Why Join Us?
- Be at the forefront of the 2026 AI revolution.
- Competitive equity package and performance bonuses.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to shape industry standards.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of scalable, high-performance AI infrastructure aligned with the 2026 strategic vision.
- R&D Strategy: Identify and evaluate emerging technologies (e.g., Quantum ML, Neuromorphic computing) to integrate into our core product stack.
- Technical Mentorship: Guide and mentor senior engineers and architects, fostering a culture of technical excellence and continuous learning.
- System Optimization: Drive initiatives to reduce latency, improve model accuracy, and optimize computational efficiency across distributed systems.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and security teams to ensure technical feasibility and compliance.
- Code Governance: Establish and enforce coding standards, architectural patterns, and best practices for the engineering organization.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field from a top-tier institution.
- Experience: 10+ years of experience in software engineering, with at least 5 years in a senior or principal architectural role.
- Technical Stack: Deep expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks (Kubernetes, Docker).
- AI Mastery: Proven track record of designing end-to-end machine learning pipelines and deploying models to production environments.
- Leadership: Demonstrated ability to lead large-scale technical projects and mentor diverse engineering teams.
- Problem Solving: Exceptional analytical skills with a focus on solving complex, ambiguous problems in real-time environments.