Job Description
Are you ready to architect the future?
Nexus Horizons is on the cutting edge of technological evolution, and we are looking for a visionary Lead AI Architect to help define our roadmap for the year 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and scalable, real-world applications. You won't just be using existing tools; you'll be helping to shape the tools of tomorrow.
Join a team of elite engineers and futurists dedicated to pushing the boundaries of what is possible. We offer a competitive compensation package, equity options, and a workspace designed for the next generation of innovation.
Responsibilities
- Strategic Roadmapping: Lead the development of our long-term technical strategy, focusing on emerging trends such as AGI (Artificial General Intelligence) and quantum-enhanced machine learning for the 2026 landscape.
- System Architecture: Design and oversee the implementation of robust, scalable AI systems that can handle complex, high-volume data streams with zero latency.
- R&D Leadership: Spearhead research initiatives to explore new neural network architectures and proprietary algorithms.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to translate complex technical concepts into actionable business solutions.
- Talent Mentorship: Build and mentor a world-class engineering team, fostering a culture of continuous learning and technical excellence.
- Compliance & Ethics: Ensure all AI deployments adhere to the highest standards of data privacy, ethical AI usage, and regulatory compliance.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 8-10 years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture and large-scale system design.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and experience with vector databases and LLM (Large Language Model) fine-tuning.
- Strategic Vision: Demonstrated ability to think several years into the future and translate abstract technological trends into concrete product features.
- Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders and executive leadership.
- Certifications: Professional certifications in Cloud Architecture (AWS/Azure/GCP) and AI Ethics are a significant plus.