Job Description
We are seeking a visionary Lead AI Architect to spearhead our 2026 Horizon Initiative. As we approach the next decade of technological evolution, you will be at the forefront of designing scalable, autonomous systems that will redefine human-machine interaction. If you thrive on solving complex problems and are passionate about the future of Artificial General Intelligence (AGI), we want to meet you.
Why Join Us?
We are a Silicon Valley powerhouse pushing the boundaries of what is possible. Our 2026 roadmap focuses on integrating Quantum Computing with Neural Networks, creating a new era of computational speed and intelligence. You will work with world-class researchers and engineers in a fast-paced, high-impact environment.
Key Responsibilities:
• Architect and deploy next-generation AI models that align with the 2026 strategic vision.
• Lead a cross-functional team of data scientists, engineers, and researchers.
• Optimize neural network architectures for edge computing and massive-scale cloud deployment.
• Define technical standards and best practices for AI safety and ethics.
• Collaborate with quantum hardware teams to integrate quantum algorithms into classical AI pipelines.
Qualifications:
• Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
• 8+ years of experience in Machine Learning, Deep Learning, or AI Architecture.
• Extensive knowledge of Python, PyTorch, TensorFlow, and CUDA programming.
• Proven track record of deploying large-scale production AI systems.
• Experience with Quantum Computing frameworks (e.g., Qiskit, Cirq) is a major plus.
Responsibilities
- Architect and deploy next-generation AI models that align with the 2026 strategic vision.
- Lead a cross-functional team of data scientists, engineers, and researchers.
- Optimize neural network architectures for edge computing and massive-scale cloud deployment.
- Define technical standards and best practices for AI safety and ethics.
- Collaborate with quantum hardware teams to integrate quantum algorithms into classical AI pipelines.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- 8+ years of experience in Machine Learning, Deep Learning, or AI Architecture.
- Extensive knowledge of Python, PyTorch, TensorFlow, and CUDA programming.
- Proven track record of deploying large-scale production AI systems.
- Experience with Quantum Computing frameworks (e.g., Qiskit, Cirq) is a major plus.