Job Description
We are at the precipice of a technological revolution. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the development of next-generation artificial intelligence systems designed to thrive in the year 2026 and beyond. In this role, you will not just adapt to the future; you will define it.
We are looking for a technical leader who possesses a deep understanding of neural architectures, large language models, and the ethical implications of advanced AI. You will be responsible for architecting scalable, robust, and efficient AI infrastructures that power our flagship products. Join a team of pioneers building the foundation for the intelligent enterprise of tomorrow.
Why Join Us?
- Work on cutting-edge AI research and deployment.
- Competitive compensation and equity package.
- Flexible remote-first culture with premium benefits.
Responsibilities
- Architect and implement scalable machine learning pipelines capable of processing petabytes of data for 2026-scale applications.
- Lead research and development in generative AI, reinforcement learning, and predictive analytics.
- Ensure the ethical, transparent, and unbiased deployment of AI models across all platforms.
- Collaborate with cross-functional teams (Data Science, DevOps, Product) to integrate AI solutions into real-world products.
- Optimize inference speeds and model efficiency for edge computing environments.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
Qualifications
- Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or architect role.
- Deep expertise in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong proficiency in programming languages, primarily Python and C++.
- Experience designing systems for large-scale distributed computing and cloud environments (AWS, GCP, or Azure).
- Track record of delivering production-ready AI products with measurable business impact.