Job Description
We are seeking a visionary Senior AI Architect to lead our '2026 Vision' initiative. At Nexus Horizon Labs, we are building the foundational intelligence that will define the next decade of human-machine interaction. This is not just a coding role; it is a strategic position where you will architect the neural pathways for next-generation artificial general intelligence.
In this role, you will bridge the gap between theoretical deep learning research and scalable, production-grade infrastructure. You will be responsible for designing the architecture that powers our proprietary language models, ensuring they are safe, efficient, and capable of autonomous reasoning. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Responsibilities
- Architect Next-Gen Systems: Design and implement cutting-edge neural network architectures tailored for real-time, autonomous decision-making.
- Scalability & Performance: Optimize large-scale training pipelines and inference engines to handle petabytes of data with zero latency.
- Ethical AI Leadership: Establish and enforce rigorous safety protocols and ethical guidelines for autonomous systems and generative AI.
- Technical Mentorship: Guide a team of elite ML engineers and researchers, fostering a culture of innovation and continuous learning.
- Strategic Roadmapping: Define the technical roadmap for our 2026 product suite, anticipating industry shifts in quantum computing and edge AI.
- Research Integration: Translate state-of-the-art academic research into deployable, commercial-ready technologies.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 8+ years of professional experience in software engineering, with at least 5 years dedicated to deep learning and AI systems architecture.
- Technical Stack: Deep proficiency in PyTorch, TensorFlow, JAX, and Rust. Experience with distributed computing frameworks (Kubernetes, Ray) is essential.
- Domain Expertise: Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems at scale with elegant, efficient solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.