Job Description
We are pioneering the next era of artificial intelligence, and we are looking for a visionary Senior AI Architect (2026 Horizon) to lead our strategic roadmap. In this pivotal role, you will design and implement cutting-edge machine learning systems that bridge the gap between current capabilities and the advanced AI paradigms required for the year 2026 and beyond.
You will be responsible for architecting scalable, fault-tolerant neural networks and guiding a team of engineers in deploying solutions that define the future of human-machine interaction. If you are passionate about pushing the boundaries of what is possible and want to leave a legacy in the AI space, apply today.
Why Join Us?
- Work on projects that define the 2026 AI landscape.
- Competitive compensation package and equity.
- Flexible remote-first culture with premium office amenities in SF.
- Access to the latest hardware and research libraries.
Responsibilities
- Architect and oversee the development of large-scale AI models designed for the 2026 technological landscape, including predictive analytics and generative AI frameworks.
- Design scalable system architectures that handle high-throughput data streams and real-time inference requirements.
- Collaborate with cross-functional teams (Product, Engineering, and Research) to translate business requirements into robust technical roadmaps.
- Establish best practices for MLOps, ensuring reproducibility, monitoring, and automated deployment pipelines.
- Lead technical decision-making regarding hardware acceleration (GPUs/TPUs) and cloud infrastructure optimization.
- Mentor and coach junior data scientists and ML engineers, fostering a culture of continuous learning and innovation.
- Conduct rigorous code reviews and performance tuning to ensure model efficiency and accuracy.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and leadership.
- Extensive hands-on experience with deep learning frameworks (TensorFlow, PyTorch, JAX) and distributed computing.
- Proven track record of deploying production-grade AI systems at scale.
- Strong proficiency in Python, C++, and cloud platforms (AWS, GCP, or Azure).
- Experience with quantum computing concepts or futuristic computing paradigms is a significant plus.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.