Job Description
Shape the Future of Intelligence with Vertex Horizon
Are you a visionary engineer ready to define the trajectory of Artificial Intelligence for the 2026 era? Vertex Horizon is at the forefront of next-generation computing, and we are seeking a Senior AI Architect to lead our strategic roadmap.
In this pivotal role, you won't just maintain existing systems; you will architect the foundational layers of our autonomous agents and generative neural networks. We are building the infrastructure that will power the world of 2026 and beyond.
Why Join Us?
- Work on cutting-edge Generative AI and Spatial Computing projects.
- Competitive salary with equity options in a high-growth startup.
- Flexible remote-first policy with a hub in the heart of San Francisco.
- Access to top-tier hardware for research and development.
If you are passionate about scalability, ethics in AI, and building systems that last, we want to meet you.
Responsibilities
- Lead the architectural design and implementation of our core AI infrastructure for the 2026 roadmap.
- Develop scalable machine learning pipelines to handle petabyte-scale data processing.
- Collaborate with cross-functional teams to integrate AI models into consumer-facing products.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Conduct rigorous research into emerging AI paradigms, including Large Language Models (LLMs) and reinforcement learning.
- Ensure system reliability, security, and ethical compliance in all AI deployments.
- Define technical standards and best practices for the engineering department.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
- 7+ years of experience in software engineering, with at least 3 years specifically in AI/ML architecture.
- Deep expertise in Python, C++, and TensorFlow or PyTorch.
- Experience designing distributed systems and cloud-native applications (AWS, GCP, or Azure).
- Strong understanding of deep learning architectures, NLP, and computer vision.
- Proven track record of leading technical teams through complex product lifecycles.
- Excellent problem-solving skills and a passion for the future of technology.