Job Description
We are seeking a visionary Senior AI Architect to lead our 2026 Initiative, a groundbreaking program focused on next-generation spatial computing and quantum-ready artificial intelligence infrastructure. In this pivotal role, you will design the architectural frameworks that will define the digital landscape of the near future.
Our team is committed to pushing the boundaries of what is possible, and we need a leader who can translate complex futuristic concepts into robust, scalable technical solutions. If you are passionate about the intersection of AI, spatial data, and immersive technology, we want to hear from you.
Responsibilities
- Design and implement scalable AI architectures capable of handling exabyte-scale data streams for the 2026 era.
- Lead the technical strategy for integrating Generative AI and Large Language Models into spatial computing environments.
- Conduct R&D on emerging technologies, including quantum computing interfaces and edge AI processing.
- Collaborate with cross-functional teams (UX, Hardware, Data Science) to deliver seamless, intelligent user experiences.
- Establish best practices for code quality, security, and ethical AI deployment.
- Mentor and cultivate a high-performing engineering team focused on innovation.
- Oversee system performance optimization and reliability in high-concurrency scenarios.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical discipline.
- Minimum of 8 years of experience in software architecture, with at least 4 years in AI/ML leadership roles.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
- Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).
- Familiarity with spatial computing frameworks (Unity, Unreal Engine) and AR/VR development.
- Strong background in database management, specifically with NoSQL and vector databases.
- Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.