Job Description
We are looking for a visionary Senior AI Architect to join Horizon AI Labs and lead the technical strategy for our upcoming 2026 roadmap. In this pivotal role, you will be at the forefront of the artificial intelligence revolution, designing scalable, robust, and cutting-edge neural network architectures that will define the future of our industry. You will work closely with top-tier researchers and engineers to build systems that are not only powerful but also ethical and explainable.
Why Join Us?
At Horizon AI Labs, we don't just predict the future; we build it. We offer a competitive compensation package, equity options, and the opportunity to work on projects that impact millions of users globally. Our team is passionate about solving the hardest problems in AI, and we are looking for someone who shares our commitment to excellence and innovation.
Responsibilities
- Architect and implement scalable AI models for the 2026 product roadmap, focusing on Generative AI and Large Language Models (LLMs).
- Lead the technical strategy for our proprietary neural network infrastructure, ensuring high performance and low latency.
- Collaborate with product managers to translate complex business requirements into robust technical solutions.
- Oversee the end-to-end machine learning lifecycle, from data ingestion and preprocessing to model training and deployment.
- Mentor a team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- Conduct rigorous code reviews and establish best practices for AI code quality and security.
- Stay ahead of the curve on emerging AI trends and technologies relevant to the 2026 landscape.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7+ years of professional experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Deep expertise in Python, C++, and modern machine learning frameworks such as PyTorch or TensorFlow.
- Strong background in NLP, computer vision, or reinforcement learning, with a proven track record of deploying models in production.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to articulate complex technical concepts to non-technical stakeholders.
- Experience working in Agile/Scrum environments and leading cross-functional teams.