Job Description
Are you ready to shape the technological landscape of the future? Quantum Horizon Technologies is seeking a visionary Lead AI Architect to spearhead our groundbreaking initiatives for the 2026 era.
As we stand on the precipice of the next technological revolution, we are building the cognitive infrastructures that will define the 2026 landscape. In this role, you won't just be writing code; you will architect the neural pathways of tomorrow's intelligent systems. You will work with a world-class team to solve the most complex challenges in Artificial General Intelligence (AGI) and next-gen computing.
We offer a competitive salary, equity packages, and the chance to work on projects that will change the world.
Responsibilities
- Architect the 2026 Roadmap: Design and oversee the long-term technical strategy for AGI systems, ensuring scalability and robustness for the 2026 deployment cycle.
- Neural Network Optimization: Lead the research and implementation of advanced deep learning models, pushing the boundaries of transformer architectures.
- System Integration: Integrate quantum computing principles with classical machine learning pipelines to create hybrid intelligence solutions.
- Safety & Alignment: Develop rigorous safety protocols and alignment frameworks to ensure AI systems behave ethically and predictably.
- Cross-Functional Leadership: Mentor a team of top-tier engineers and data scientists, fostering a culture of innovation and excellence.
- Performance Tuning: Optimize computational efficiency and reduce inference costs for large-scale language models.
Qualifications
- Master’s or PhD: In Computer Science, Artificial Intelligence, or a related field from a top-tier institution.
- Experience: 10+ years of experience in AI/ML engineering, with a focus on large language models and generative AI.
- Technical Proficiency: Expertise in Python, C++, and deep learning frameworks (PyTorch, TensorFlow). Experience with quantum computing libraries is a plus.
- Leadership: Proven track record of leading technical teams and managing complex, cross-functional projects.
- Future-Ready Mindset: Deep understanding of emerging trends in AI, specifically those relevant to the 2026 technological landscape.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.