Job Description
Are you ready to shape the future of intelligence? Nexus Dynamics is seeking a visionary Senior AI Architect to lead our '2026 Horizon' initiative. As we stand on the precipice of a new era in artificial general intelligence, we need a technical leader who can bridge the gap between theoretical breakthroughs and scalable production systems.
In this pivotal role, you will be responsible for architecting the foundational models that will power our ecosystem in 2026 and beyond. You will work alongside world-class researchers and engineers to build safe, ethical, and powerful AI systems that redefine human potential.
Why Join Us?
- Work on cutting-edge Generative AI and LLM infrastructure.
- Competitive equity package and 401(k) matching.
- Flexible remote-first policy with quarterly all-hands meetups in San Francisco.
- Unlimited PTO and professional development budget.
Ready to define the future? Apply today.
Responsibilities
- Design and implement scalable, high-performance machine learning infrastructure for next-gen AI applications.
- Lead the architectural strategy for transitioning legacy models to next-generation neural architectures.
- Oversee the integration of ethical AI safety protocols and bias mitigation strategies into core systems.
- Collaborate with cross-functional teams to define product roadmaps aligned with the 2026 vision.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Conduct rigorous code reviews and system audits to ensure production stability.
- Publish research findings and contribute to open-source communities relevant to AI evolution.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 8+ years of experience in software engineering and machine learning architecture.
- Proven track record of deploying large-scale ML systems (e.g., PyTorch, TensorFlow, JAX).
- Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong leadership skills with the ability to influence technical decisions and drive projects from conception to delivery.
- Excellent communication skills, with the ability to articulate complex technical concepts to diverse stakeholders.