Job Description
Are you ready to define the technological landscape of 2026?
Quantum Leap Systems is seeking a visionary Senior AI Architect to lead our next-generation infrastructure. In this pivotal role, you won't just be implementing existing solutions; you will be architecting the future of autonomous intelligence, ethical AI integration, and quantum-ready algorithms. Join a team of elite innovators dedicated to bridging the gap between today’s capabilities and the transformative potential of the 2026 era.
Why Join Us?
We are a forward-thinking organization focused on building the foundational technologies for the next decade. You will have the autonomy to push the boundaries of Machine Learning, Deep Learning, and Neural Architecture Search (NAS) in a dynamic, high-performance environment.
Responsibilities
- Architect Future-Proof Solutions: Design and implement scalable AI architectures capable of handling the complexity and volume of data expected in the 2026 market landscape.
- Lead Research & Development: Spearhead initiatives in Generative AI, Large Language Models (LLMs), and reinforcement learning to create proprietary algorithms.
- Quantum Integration Strategy: Oversee the transition of classical AI models to quantum-resistant and quantum-accelerated frameworks.
- Model Optimization: Optimize deep learning models for inference speed, latency, and energy efficiency in edge computing environments.
- Ethical AI Governance: Establish and enforce rigorous guidelines for AI safety, bias mitigation, and transparency in automated decision-making systems.
- Talent Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of continuous learning and technical excellence.
Qualifications
- Advanced Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Experience: 5+ years of experience in designing large-scale machine learning systems, with a focus on NLP or Computer Vision.
- Quantum Literacy: Familiarity with quantum computing concepts and hybrid classical-quantum algorithm development is highly desirable.
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems with innovative, data-driven solutions.
- Leadership: Strong track record of leading cross-functional teams and driving technical strategy from conception to deployment.