Job Description
We are seeking a visionary Lead AI Architect to define the technological landscape of 2026. Nexus Horizon Systems is pioneering the integration of quantum computing with advanced neural networks to solve humanity's most complex challenges. If you are passionate about building the future and want to lead a team of elite engineers, this is your opportunity.
In this role, you will be responsible for designing scalable AI infrastructures that are not just efficient today, but future-proof for the technological demands of 2026 and beyond.
Responsibilities
- Architect Future-Ready Systems: Design and oversee the development of scalable, high-performance AI and machine learning systems tailored for the 2026 era.
- Quantum Integration: Lead the research and implementation of hybrid quantum-classical algorithms to enhance model processing power.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Strategic Roadmapping: Define the technical roadmap for AI evolution, ensuring alignment with company long-term strategic goals.
- Performance Optimization: Continuously optimize deep learning models for latency, throughput, and resource efficiency.
- Cross-Functional Collaboration: Partner with product managers and researchers to translate complex theoretical concepts into deployable products.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior architectural role.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with quantum computing frameworks (Qiskit, Cirq).
- Leadership: Proven track record of leading high-performance engineering teams and delivering complex systems on time.
- Problem Solving: Deep understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and data pipelines.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.