Job Description
We are seeking a visionary Senior AI Architect to lead our groundbreaking 2026 Vision Initiative. In an era defined by rapid technological advancement, your role will be pivotal in architecting the next generation of intelligent systems that will define the future of enterprise.
At Nebula Horizon Labs, we believe that the future isn't just predicted—it's engineered. We are looking for a leader who thrives in ambiguity and possesses the technical prowess to turn theoretical AI concepts into scalable, real-world solutions. If you are passionate about shaping the trajectory of Artificial Intelligence and want to work on the bleeding edge of technology, this is your opportunity.
Why Join Us?
- Impactful Work: Directly influence the architectural direction of our core AI products for the 2026 roadmap.
- Innovation First: Work with state-of-the-art Generative AI, LLMs, and Quantum-ready frameworks.
- Equity Package: Competitive equity plan reflecting our commitment to long-term value creation.
- Flexible Environment: Hybrid work model based in the heart of San Francisco.
Responsibilities
- Architect and deploy scalable AI infrastructure for the 2026 Roadmap, focusing on LLM integration and Generative AI pipelines.
- Lead a cross-functional team of data scientists, engineers, and researchers to drive innovation in predictive modeling.
- Ensure data integrity, security, and ethical AI compliance across all high-stakes projects.
- Collaborate with C-suite stakeholders to translate complex technical requirements into actionable architectural strategies.
- Define and implement best practices for MLOps, cloud-native deployment, and automated CI/CD pipelines.
- Conduct technical due diligence for emerging technologies to keep the organization ahead of the curve.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software architecture, with a specific focus on AI/ML systems and distributed computing.
- Deep expertise in Python, PyTorch, TensorFlow, and modern distributed system frameworks (Kubernetes, AWS/GCP/Azure).
- Proven track record of leading high-impact engineering teams in a fast-paced startup or enterprise environment.
- Strong understanding of NLP, Computer Vision, and Generative AI technologies.