Job Description
The Future of Intelligence Starts Here.
At Nexus Horizon, we aren't just building software; we are architecting the future. The '2026 Initiative' represents our ambitious commitment to deploying autonomous, sentient-level AI systems by 2026. We are seeking a visionary Lead AI Architect to spearhead this transformation, bridging the gap between theoretical research and production-grade reality.
You will be at the forefront of the next industrial revolution, working with a world-class team to solve the hardest problems in artificial general intelligence (AGI) and quantum-enhanced machine learning.
Why Join Us?
- Work on cutting-edge technology that defines the 2026 landscape.
- Competitive compensation package including equity.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Architectural Leadership: Design and implement scalable, fault-tolerant neural architectures designed for the high-compute demands of 2026 workloads.
- Research Integration: Translate cutting-edge academic research into practical, deployable software components for the 2026 Initiative.
- System Optimization: Oversee the training and fine-tuning of Large Language Models (LLMs) and multi-modal systems to ensure peak performance.
- Team Mentorship: Mentor a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Cross-Functional Collaboration: Partner with hardware engineers to optimize for next-gen edge computing environments.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field from a top-tier institution.
- Experience: 8+ years of professional experience in AI/ML engineering, with at least 3 years in a senior or lead architectural role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed training frameworks.
- Specialized Knowledge: Deep understanding of Deep Reinforcement Learning, Natural Language Processing (NLP), and Generative AI models.
- Problem Solving: Proven track record of solving complex, ambiguous problems in large-scale systems.