Job Description
We are seeking a visionary Lead AI Architect to define the technical roadmap for our next-generation systems, specifically targeting breakthrough capabilities by 2026. In this pivotal role, you will bridge the gap between theoretical research and production-scale implementation, leading a team of elite engineers in building the infrastructure that powers the future of artificial intelligence.
Why Join Us?
At Quantum Horizon Labs, we are not just predicting the future; we are engineering it. You will work in a state-of-the-art facility with unlimited resources to solve the most complex challenges in generative AI and autonomous systems. If you are passionate about the intersection of deep learning and real-world impact, this is your opportunity to leave a lasting legacy.
Responsibilities
- Architectural Vision: Design and oversee the implementation of scalable, high-performance AI architectures aligned with the 2026 technology roadmap.
- R&D Leadership: Guide the research team in exploring novel neural network topologies and optimization techniques.
- System Optimization: Engineer systems capable of handling petabyte-scale data processing with sub-millisecond latency.
- Team Mentorship: Foster a culture of innovation and excellence by mentoring senior engineers and conducting technical workshops.
- Strategic Planning: Collaborate with product leadership to translate business goals into technical milestones.
- Security & Compliance: Ensure all AI systems adhere to the highest standards of data privacy and algorithmic fairness.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 5 years focused on deep learning and large language models.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
- Domain Knowledge: Deep understanding of Transformer models, reinforcement learning, and multi-modal AI systems.
- Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Leadership: Proven track record of leading cross-functional teams in fast-paced, high-growth environments.