Job Description
Are you ready to architect the future of human-machine collaboration?
Nexus Dynamics is leading the charge in the 2026 Initiative, a revolutionary project designed to redefine the boundaries of autonomous AI systems. We are seeking a visionary Senior AI Architect to join our elite engineering team in San Francisco.
In this role, you won't just be writing code; you will be building the infrastructure that powers the next decade of intelligent automation. We are looking for a thought leader who understands the convergence of generative AI, edge computing, and predictive modeling to create systems that are not only smart but ethically sound and scalable.
Why join the 2026 Initiative?
- Work on cutting-edge technology that defines the future.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in the heart of the Bay Area.
If you are passionate about building the systems that will power the world in 2026 and beyond, we want to hear from you.
Responsibilities
- Design and architect scalable, self-evolving AI agents capable of complex decision-making in 2026 environments.
- Implement advanced reinforcement learning algorithms to optimize system autonomy and efficiency.
- Collaborate with cross-functional teams to integrate 2026-ready predictive models into core product infrastructure.
- Ensure system security, compliance, and ethical AI governance standards are met.
- Mentor junior engineers and drive technical best practices within the AI lab.
- Conduct research into emerging trends in neural interfaces and semantic web technologies.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of professional experience in software engineering, with at least 5 years focused on AI/ML system architecture.
- Deep proficiency in Python, Rust, or C++ with experience in distributed systems.
- Proven track record of deploying large-scale machine learning models to production.
- Experience with LLM fine-tuning, RAG (Retrieval-Augmented Generation), and agentic workflows.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).