Job Description
The Future is Now. Horizon 2026 Labs is at the forefront of next-generation intelligence. We are seeking a visionary Senior AI Architect to design and deploy the core algorithms that will define the technological landscape of the 2026 era. If you are passionate about pushing the boundaries of what is possible in machine learning and synthetic intelligence, we want to meet you.
In this role, you will not just build software; you will architect the neural pathways of tomorrow. You will lead a high-performing team in building scalable, fault-tolerant systems that power our proprietary predictive models. Join us in shaping the infrastructure for a smarter future.
Why join Horizon 2026?
- Work on cutting-edge projects that impact millions globally.
- Competitive equity and a top-tier salary package.
- Flexible remote-first culture with a San Francisco hub.
Responsibilities
- Design and architect scalable machine learning infrastructure and deep learning models tailored for 2026-era data processing needs.
- Lead the Research and Development (R&D) roadmap, identifying emerging AI technologies to integrate into our core stack.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical architecture.
- Optimize existing models for speed, accuracy, and efficiency, ensuring low-latency performance in production environments.
- Establish best practices for data governance, model security, and ethical AI implementation.
- Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field (10+ years of experience).
- Extensive experience designing large-scale distributed systems and deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Proven track record of deploying production-grade AI models in cloud environments (AWS, GCP, or Azure).
- Strong proficiency in programming languages such as Python, C++, or Rust.
- Deep understanding of Natural Language Processing (NLP) and/or Computer Vision paradigms.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.