Job Description
We are at the forefront of technological evolution, and we are looking for a visionary Lead AI Architect (2026 Horizon) to help us define the future of intelligent systems. In this pivotal role, you will not just build AI models; you will architect the infrastructure that will power the next generation of human-machine interaction. Join us in shaping the technological landscape of 2026 and beyond.
Why Join Us?
- Work on cutting-edge projects that define industry standards.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a hub in San Francisco.
- Access to the latest quantum computing resources and LLMs.
What You Will Do:
- Design and implement scalable, high-performance AI architectures aligned with the 2026 vision.
- Lead a team of machine learning engineers and data scientists in pushing the boundaries of generative AI.
- Define technical roadmaps for integrating emerging technologies into our core products.
- Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
- Mentor junior staff and establish best practices for AI ethics and safety.
- Conduct research on novel algorithms to improve model accuracy and efficiency.
Qualifications:
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 10+ years of experience in software engineering and machine learning architecture.
- Deep expertise in deep learning frameworks (TensorFlow, PyTorch, JAX).
- Strong proficiency in Python, C++, and distributed systems.
- Proven track record of deploying large-scale AI models in production environments.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Familiarity with AI governance, bias mitigation, and regulatory compliance.
Responsibilities
- Architect scalable AI infrastructure for the 2026 roadmap.
- Lead a high-performance engineering team.
- Define technical strategy and best practices.
- Collaborate with product and business teams.
- Conduct research on advanced algorithms.
- Mentor and develop engineering talent.
Qualifications
- PhD or Master’s in Computer Science or AI.
- 10+ years of experience in ML/AI engineering.
- Expertise in TensorFlow, PyTorch, and Python.
- Experience with distributed systems.
- Strong problem-solving and communication skills.
- Understanding of AI ethics and compliance.