Job Description
We are seeking a visionary Lead AI Architect to define the technological roadmap for our 2026 initiatives. As we stand on the precipice of the next industrial revolution, you will be responsible for designing the autonomous systems and next-generation neural networks that will power our global platform.
In this pivotal role, you won't just maintain the status quo; you will architect the future. You will lead a team of elite engineers in building Agentic AI systems, integrating Spatial Computing, and optimizing quantum-ready algorithms. If you are passionate about the intersection of deep learning and futuristic computing, this is your opportunity to shape the world of 2026.
Why Join Us?
- Work on cutting-edge technologies that define the next decade.
- Competitive compensation package including equity.
- Flexible remote-first culture with state-of-the-art offices in SF.
- Opportunity to publish patents and lead open-source contributions.
Responsibilities
- Architect and deploy scalable, autonomous AI agents capable of complex decision-making in real-time environments.
- Define the technical vision and roadmap for the 2026 product suite, focusing on generative and predictive intelligence.
- Lead the design of multi-modal neural networks that integrate text, vision, and audio seamlessly.
- Collaborate with cross-functional teams to translate high-level business requirements into robust technical solutions.
- Optimize inference pipelines to ensure sub-millisecond latency for edge computing applications.
- Mentor and coach senior engineering talent, fostering a culture of innovation and continuous learning.
- Ensure system security, compliance, and ethical AI governance across all deployed models.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- 10+ years of experience in software engineering and machine learning architecture.
- Deep expertise in deep learning frameworks such as PyTorch or TensorFlow.
- Proven track record of leading large-scale ML projects from conception to production.
- Experience with Vector Databases, LLM fine-tuning, and RAG (Retrieval-Augmented Generation) architectures.
- Familiarity with Quantum Computing concepts and edge deployment strategies.
- Strong leadership skills with the ability to communicate complex technical concepts to diverse stakeholders.