Job Description
Are you ready to define the technology landscape of 2026?
Nexus Horizon Labs is at the forefront of the AI revolution. We are not just predicting the future; we are architecting it. We are seeking a visionary Senior AI Architect to lead our R&D division, focusing on next-generation generative models and autonomous systems.
In this role, you will bridge the gap between theoretical research and scalable production systems. You will be responsible for the architecture of our flagship products, ensuring they are robust, efficient, and ready for the massive scale of the 2026 market.
Why Join Us?
- Impactful Work: Build the infrastructure that powers the next decade of AI.
- Competitive Package: Top-tier compensation and equity packages.
- Future-Ready Environment: Work with the latest hardware and cloud technologies.
If you are a thought leader who thrives on solving complex problems and pushing the boundaries of what is possible, we want to hear from you.
Responsibilities
- Lead R&D Architecture: Design and oversee the architecture of large-scale machine learning models and neural networks for future deployment.
- Strategic Roadmapping: Define the technical roadmap for our 2026 product suite, identifying emerging technologies and integrating them into our core stack.
- System Optimization: Drive performance optimization, reducing latency and improving inference accuracy for real-time applications.
- Team Leadership: Mentor a team of brilliant engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaboration: Work closely with product managers and stakeholders to translate business goals into technical specifications.
- Prototyping: Build and validate proof-of-concept models for novel AI paradigms.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture and leadership.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, AWS/GCP).
- Specialization: Proven track record in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Leadership: Demonstrated ability to lead high-performing engineering teams and manage cross-functional projects.
- Problem Solving: Strong analytical skills with the ability to tackle ambiguous, undefined problems creatively.