Job Description
The Future Starts Here. Nexus Horizon Tech is pioneering the infrastructure for the year 2026. We are seeking a visionary Lead AI Architect to spearhead the development of our next-generation autonomous systems. You will be at the forefront of merging Generative AI with Quantum-Ready frameworks, defining the technological landscape of the near future.
In this role, you won't just maintain systems; you will architect the foundation for humanity's next leap in digital intelligence. Join us to build the AI that will define the decade.
Responsibilities
- Architect Next-Gen AI: Design and implement scalable, high-performance neural networks and deep learning models tailored for 2026 market demands.
- Lead Innovation: Spearhead research initiatives into emerging technologies, including Neuromorphic Computing and Edge AI integration.
- System Optimization: Oversee the end-to-end lifecycle of AI infrastructure, ensuring zero-latency processing and maximum efficiency.
- Team Mentorship: Guide a world-class engineering team, fostering a culture of technical excellence and continuous innovation.
- Cross-Functional Collaboration: Partner with product and strategy teams to translate futuristic concepts into actionable engineering roadmaps.
- Risk Management: Identify potential bottlenecks in AI scalability and implement robust architectural solutions to mitigate them.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of professional experience in AI/ML architecture, with at least 3 years in a senior leadership or architect role.
- Technical Mastery: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
- Future-Ready Skills: Proven experience with Large Language Models (LLMs) and experience with quantum algorithms or edge computing is a significant plus.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with creative, scalable solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.