Job Description
The Future Starts Here. At Nexus Horizon Solutions, we are not just preparing for 2026; we are architecting the reality of it. We are seeking a visionary Senior AI Architect to lead our cutting-edge research division, focusing on next-generation Generative AI and Autonomous Systems. If you are passionate about solving humanity's hardest problems and shaping the technological landscape of the next decade, we want to meet you.
In this role, you will bridge the gap between theoretical research and scalable production, ensuring our solutions are ethical, robust, and ahead of the curve. Join a diverse team of futurists, engineers, and designers in the heart of Silicon Valley.
Why Nexus Horizon?
- Work on projects with a 10-year horizon.
- Competitive equity and stock options.
- Unlimited PTO and flexible remote-first culture.
- Access to state-of-the-art computing clusters.
Responsibilities
- Lead the architectural design and implementation of proprietary AI models focused on scalability and efficiency for the 2026 roadmap.
- Oversee the research and development of Generative Adversarial Networks (GANs) and Large Language Models (LLMs).
- Collaborate with cross-functional teams including data scientists, software engineers, and product managers to translate research into production-ready applications.
- Ensure all AI systems adhere to strict ethical guidelines, bias mitigation protocols, and safety standards.
- Present technical findings and architectural proposals to executive leadership and stakeholders.
- Mentor junior engineers and foster a culture of continuous learning and innovation.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
- 7+ years of professional experience in software development and machine learning engineering.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
- Proven track record of deploying scalable AI solutions in production environments.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Excellent problem-solving skills and the ability to work in a fast-paced, high-ambiguity environment.