Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon Systems is pioneering the next generation of Artificial Intelligence, and we are seeking a visionary Senior AI Architect to lead our cutting-edge R&D initiatives.
In this pivotal role, you will architect the neural frameworks and machine learning pipelines that will power our global infrastructure. You won't just be maintaining legacy systems; you will be building the foundation for the future, ensuring our solutions are scalable, secure, and ahead of the curve.
Why Join Us?
We offer a competitive compensation package, stock options, and the unique opportunity to work on projects that redefine human-machine interaction. If you are a thought leader in AI with a passion for pushing boundaries, we want to hear from you.
Responsibilities
- Architect Future-Ready AI Systems: Design and deploy scalable machine learning models and deep neural networks tailored for high-performance computing environments.
- Lead 2026 Roadmap: Collaborate with C-suite leadership to define the technical vision for our 2026 product releases, focusing on edge computing and predictive analytics.
- Optimize Neural Workflows: Engineer efficient data pipelines and algorithmic strategies to minimize latency and maximize computational throughput.
- Research & Development: Stay at the forefront of emerging technologies, evaluating and integrating breakthroughs in generative AI and reinforcement learning.
- Technical Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous innovation and technical excellence.
- Security & Compliance: Implement rigorous security protocols to protect sensitive data and ensure compliance with global AI regulations.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of professional experience in AI/ML engineering, with at least 3 years in a senior architectural or leadership role.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and JAX. Experience with distributed computing systems (Kubernetes, AWS/Azure/GCP) is required.
- Language Model Expertise: Demonstrated success in training Large Language Models (LLMs) or implementing NLP solutions.
- Problem Solving: Exceptional ability to solve complex, unstructured problems with innovative technical solutions.
- Communication: Excellent verbal and written communication skills, capable of translating technical concepts to non-technical stakeholders.