Job Description
Join Horizon Future Systems as we define the technological landscape of 2026. We are at the forefront of the next industrial revolution, integrating Generative AI with spatial computing to create seamless, intelligent ecosystems. We are seeking a visionary Senior AI Architect to lead the design and implementation of our proprietary core models.
In this role, you won't just build software; you will architect the brain of our future. You will work in a high-performance environment, collaborating with quantum computing researchers and data scientists to push the boundaries of what is possible in 2026. If you are passionate about ethical AI, scalability, and the future of human-machine interaction, we want to meet you.
Why Horizon Future Systems?
- Work on projects that are shaping the year 2026 and beyond.
- Competitive equity package and top-tier benefits.
- Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Design and implement scalable AI/ML architectures tailored for the 2026 tech stack.
- Lead the R&D team in deploying state-of-the-art Large Language Models (LLMs) and generative agents.
- Oversee the full machine learning lifecycle, from data ingestion and model training to MLOps and deployment.
- Establish best practices for model fairness, transparency, and ethical AI usage.
- Collaborate with cross-functional teams including product managers, engineers, and designers.
- Conduct technical research to identify emerging trends that will define the future of our industry.
- Mentor junior engineers and foster a culture of continuous learning and innovation.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 10+ years of professional experience in software engineering and machine learning.
- Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tools (Docker, Kubernetes, MLflow).
- Proven track record of designing and deploying production-grade AI systems at scale.
- Experience with Generative AI, NLP, and Computer Vision technologies.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and distributed systems.
- Exceptional leadership skills with the ability to influence technical strategy and drive results.