Job Description
Are you ready to define the technology of the future? Nexus Horizon Labs is pioneering the next generation of artificial intelligence, and we are seeking a visionary Senior AI Architect 2026 to lead our research and development division.
In this high-impact role, you will not just implement existing models; you will architect the fundamental infrastructure required for the AI advancements of 2026 and beyond. We operate at the intersection of generative AI, quantum computing, and neural networks, pushing the boundaries of what is possible.
If you are a technical leader passionate about scalability, ethics in AI, and building systems that shape tomorrow, we want to hear from you.
Why Join Us?
- Future-Ready Tech Stack: Work with the latest in neural architecture search and edge computing.
- Competitive Compensation: We offer a top-tier salary package plus equity.
- Flexible Culture: Fully remote-first with a hub in the heart of San Francisco.
Responsibilities
- Design and deploy scalable, fault-tolerant AI architectures for next-generation applications.
- Lead the research and implementation of novel machine learning algorithms tailored for 2026 market demands.
- Mentor a team of senior engineers and data scientists, fostering a culture of innovation.
- Collaborate with cross-functional product teams to translate complex requirements into technical blueprints.
- Ensure data integrity, security, and ethical AI compliance across all projects.
- Optimize model performance for low-latency, high-volume processing environments.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Physics, or a related field; PhD preferred.
- 5+ years of professional experience in AI/ML engineering, architecture, or research.
- Deep expertise in Python, PyTorch, TensorFlow, and large language models (LLMs).
- Proven track record of leading technical teams and managing complex technical roadmaps.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong understanding of neural network optimization and distributed systems.