Job Description
Shape the Future of Intelligence. Apex Future Labs is pioneering the architecture for the year 2026. We are looking for a visionary Principal AI Architect to design the next generation of scalable, quantum-ready neural networks that will redefine human-machine interaction.
In this role, you won't just maintain existing systems; you will architect the foundation for the autonomous economy of tomorrow. You will lead a cross-functional team of data scientists and engineers to integrate cutting-edge deep learning with emerging quantum computing paradigms.
Why join us?
We offer a competitive compensation package, equity in a unicorn startup, and the opportunity to work on problems that matter. If you are obsessed with pushing the boundaries of what is possible in Artificial General Intelligence (AGI), we want to meet you.
Responsibilities
- Architect 2026-Ready Systems: Design and implement large-scale neural architectures capable of handling petabyte-scale data streams with zero latency.
- Quantum Integration: Spearhead the research and implementation of hybrid quantum-classical algorithms to solve complex optimization problems.
- Strategic Leadership: Define the technical roadmap for our AI initiatives, ensuring alignment with our 2026 product vision and long-term business goals.
- Model Optimization: Drive the research and deployment of model pruning, quantization, and edge-computing optimizations to deploy AI on resource-constrained devices.
- Talent Development: Mentor senior engineers and foster a culture of innovation, technical excellence, and continuous learning.
- Ethical AI Compliance: Ensure all AI systems adhere to global ethical guidelines, fairness standards, and regulatory requirements for autonomous agents.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural or lead role.
- Technical Mastery: Deep expertise in PyTorch, TensorFlow, or JAX. Experience with quantum computing frameworks (Cirq, Qiskit) is highly desirable.
- Scalability: Proven track record of designing distributed systems that scale to millions of users and handle high concurrency.
- Problem Solving: Exceptional ability to solve ambiguous, high-level technical problems with practical, elegant solutions.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to non-technical stakeholders.