Job Description
Join the Pioneers of Tomorrow.
Vertex Horizon is not just building software; we are architecting the future. As we prepare for our major 2026 rollout, we are seeking a visionary Senior AI Architect to lead our next-generation machine learning infrastructure. If you are passionate about pushing the boundaries of what's possible in 2026 and beyond, we want to meet you.
In this role, you will define the technical roadmap for our core AI systems, ensuring scalability, security, and innovation. You will work with a world-class team of engineers, data scientists, and product leaders to transform complex data into intelligent solutions that redefine user experience.
Why Vertex Horizon?
- Work on cutting-edge technology that will shape the industry by 2026.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in San Francisco.
Ready to build the future? Apply today.
Responsibilities
- Lead the architectural design and implementation of scalable AI/ML systems for the 2026 product roadmap.
- Collaborate with product managers and stakeholders to translate business requirements into robust technical solutions.
- Oversee the integration of generative AI models into existing enterprise workflows.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Ensure system reliability, performance optimization, and data security compliance.
- Stay ahead of industry trends to propose innovative features and technical improvements.
Qualifications
- Master’s degree in Computer Science, Data Science, or a related field (PhD preferred).
- 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
- Proven track record of deploying large-scale machine learning models into production.
- Strong understanding of distributed systems, microservices architecture, and database management.
- Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.