Job Description
We are pioneering the next generation of intelligent systems. As we look toward the technological landscape of 2026 and beyond, Vertex Horizon is seeking a visionary Principal AI Architect to lead our R&D division. This is not just a job; it is an opportunity to define the standards for Artificial General Intelligence (AGI) and ethical machine learning in a rapidly evolving world.
In this role, you will bridge the gap between theoretical research and scalable production environments. You will be responsible for architecting the neural infrastructures that power our next-generation products, ensuring they are robust, ethical, and future-proof. If you are driven by the challenge of building the systems that will define the era of 2026, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that have a global impact.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Architectural Leadership: Design and oversee the development of scalable, high-performance AI systems and neural network architectures.
- Research & Development: Lead the exploration of emerging AI paradigms, including Transformer models, Reinforcement Learning, and Edge AI.
- System Optimization: Identify bottlenecks in existing ML pipelines and implement strategies to improve latency, accuracy, and resource efficiency.
- Ethical AI Implementation: Establish and enforce guidelines for responsible AI, ensuring fairness, transparency, and accountability in all deployed models.
- Team Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Strategic Planning: Collaborate with product leaders to translate 2026 business goals into technical roadmaps.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and model deployment.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Cloud Expertise: Extensive experience designing systems on major cloud providers (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to solve complex, unstructured problems in dynamic environments.
- Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders.