Job Description
We are on the cusp of a technological singularity. As we look toward the pivotal year of 2026, Nexus Future Labs is seeking a visionary Senior AI Systems Architect to architect the next generation of autonomous intelligence. You won't just be writing code; you will be defining the blueprint for the future of human-machine interaction.
In this high-impact role, you will lead the research and development of scalable AI infrastructure, focusing on generative models, neural networks, and ethical AI frameworks. You will work in a dynamic, fast-paced environment with top-tier engineers, pushing the boundaries of what is possible in artificial general intelligence (AGI).
Why join us?
• Work on projects that will shape the trajectory of the next decade.
• Competitive equity and salary packages.
• Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Architect and design scalable, fault-tolerant AI infrastructure capable of supporting next-generation generative models.
- Lead research initiatives focused on large language models (LLMs) and reinforcement learning environments.
- Define technical roadmaps and architectural standards for the 2026 product release cycle.
- Collaborate with cross-functional teams including product managers, ethicists, and frontend engineers.
- Mentor junior developers and foster a culture of innovation and technical excellence.
- Ensure system security, data privacy, and compliance with evolving AI regulations.
- Publish research papers and contribute to open-source communities in the AI space.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 10+ years of professional experience in software engineering, with at least 5 years focused on AI/ML systems architecture.
- Deep expertise in Python, C++, or Rust, and familiarity with deep learning frameworks (TensorFlow, PyTorch, JAX).
- Proven track record of deploying production-grade machine learning systems.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Exceptional problem-solving skills and the ability to thrive in ambiguity.
- Excellent verbal and written communication skills.