Job Description
We are seeking a visionary Lead AI Architect to drive the technological breakthroughs that will define the year 2026. Nexus Horizon AI is at the forefront of integrating Generative AI with Quantum-ready infrastructures. You will be responsible for designing the architectural frameworks that power our next-generation autonomous systems.
In this pivotal role, you will bridge the gap between theoretical research and scalable production deployment, ensuring our solutions remain ahead of the technological curve.
Responsibilities
- Architect Scalable Systems: Design and implement high-performance AI infrastructures optimized for the data demands of 2026 and beyond.
- Research Leadership: Lead R&D initiatives in Large Language Models (LLMs) and multimodal neural networks.
- Ethical AI Frameworks: Establish and enforce governance protocols for AI safety, transparency, and bias mitigation.
- Cross-Functional Collaboration: Partner with product, engineering, and security teams to integrate AI seamlessly into the ecosystem.
- Technical Mentorship: Mentor a team of senior data scientists and machine learning engineers, fostering a culture of innovation.
- Performance Optimization: Continuously refine algorithms to improve latency, accuracy, and resource efficiency.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a leadership or architectural capacity.
- Technical Skills: Proficiency in Python, C++, and deep learning frameworks (PyTorch, TensorFlow).
- Specialized Knowledge: Deep understanding of Transformer architectures, Reinforcement Learning, and quantum computing concepts.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems with novel engineering solutions.
- Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders.