Job Description
We are looking for a visionary Senior AI Architect to join our elite R&D division. Nexus Horizons is pioneering the technological landscape of 2026, focusing on the convergence of Generative AI, Quantum Computing, and Sustainable Energy Systems.
In this role, you won't just write code; you will architect the neural pathways of tomorrow. You will lead a world-class team in developing next-generation autonomous systems that redefine human-machine interaction. If you are passionate about pushing the boundaries of what is possible and want to define the future of technology, this is your opportunity to make history.
Why join Nexus Horizons?
- Impactful Work: Build systems that will power the world in 2026 and beyond.
- Elite Team: Collaborate with top-tier PhDs and industry veterans.
- Future-Ready Environment: Work in a state-of-the-art facility focused on innovation.
- Equity Package: Competitive stock options in a high-growth unicorn.
Responsibilities
- Design and implement scalable, state-of-the-art machine learning models for autonomous decision-making systems.
- Lead the architectural strategy for integrating deep learning with quantum computing frameworks.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Conduct rigorous research and publish findings in leading AI conferences (NeurIPS, ICML, etc.).
- Collaborate with cross-functional product teams to translate cutting-edge research into market-ready products.
- Ensure ethical AI standards, data privacy compliance, and robust system security.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 8+ years of professional experience in software development, with at least 4 years in advanced AI/ML research or architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Proven track record of leading large-scale R&D projects from concept to deployment.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.