Job Description
Join the Future of Intelligence
Nebula Horizon Labs is pioneering the technological landscape of 2026. We are seeking a visionary Senior AI Architect to design and implement the next generation of Artificial General Intelligence (AGI) systems. In this role, you will bridge the gap between theoretical research and scalable production engineering, ensuring our solutions are robust, ethical, and transformative.
You will work in a high-performance environment focused on solving complex problems in natural language processing, autonomous agents, and cognitive computing. If you are passionate about shaping the future and have a track record of delivering cutting-edge AI solutions, we want to hear from you.
Why Join Us?
- Competitive salary and equity package.
- Flexible remote-first culture with a San Francisco HQ.
- Access to state-of-the-art compute resources and research libraries.
- Opportunity to define industry standards for AI safety and ethics.
Responsibilities
- Architect and design scalable, distributed AI infrastructure capable of handling petabyte-scale data.
- Lead the R&D efforts for next-generation machine learning models, including LLMs and reinforcement learning agents.
- Define technical roadmaps and architectural standards for the 2026 product suite.
- Collaborate with cross-functional teams (Product, Engineering, Legal) to ensure ethical AI implementation and compliance.
- Optimize model inference speeds and reduce latency in real-time applications.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- 10+ years of experience in software engineering and 5+ years specifically in AI/ML architecture.
- Deep proficiency in Python, PyTorch, or TensorFlow.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Proven track record of deploying production-grade AI models.
- Familiarity with AI ethics, bias mitigation, and regulatory frameworks (e.g., GDPR, CCPA).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.