Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Horizon AI is on the cutting edge of the 2026 Initiative, a groundbreaking research project aimed at integrating Generative AI with Quantum Computing to solve humanity's most complex challenges.
We are looking for a visionary Lead AI Architect to join our elite team. In this role, you won't just build models; you will define the fundamental architecture of next-gen artificial general intelligence. If you thrive in ambiguity and are obsessed with pushing the boundaries of what is possible in tech, this is your opportunity to leave a lasting legacy.
Why Join Us?
- Impactful Work: Directly influence the trajectory of AI development for the next decade.
- Future-Proof Tech: Work with bleeding-edge hardware and novel algorithmic paradigms.
- Elite Team: Collaborate with world-class researchers and engineers from top institutions.
Join us in shaping the future of intelligence.
Responsibilities
- System Architecture: Design and oversee the development of scalable, distributed AI systems capable of handling petabyte-scale data streams.
- Research Leadership: Define the technical roadmap for the 2026 Initiative, focusing on the intersection of Neural Networks and Quantum Algorithms.
- Team Mentorship: Lead, mentor, and grow a high-performance engineering team of data scientists and AI researchers.
- Algorithm Optimization: Drive innovation in model efficiency, reducing inference latency and energy consumption by up to 40%.
- Strategic Planning: Work closely with C-level executives to translate complex technical concepts into business-critical strategies.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on Machine Learning or Computational Physics.
- Experience: 7+ years of experience in AI/ML architecture, with at least 2 years in a senior leadership role.
- Technical Skills: Deep expertise in PyTorch, TensorFlow, and experience with quantum computing frameworks (e.g., Qiskit, Cirq).
- Problem Solving: Proven track record of solving complex, unsolved problems in large-scale AI deployment.
- Communication: Exceptional ability to communicate complex technical ideas to diverse stakeholders.