Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon Technologies is seeking a visionary Senior AI Architect to lead our research into next-generation neural architectures. In this pivotal role, you won't just build models; you will architect the future of enterprise intelligence and sustainable AI systems.
We are pioneering breakthroughs that will define the industry standard for the upcoming decade. If you possess a deep understanding of generative AI, causal inference, and scalable infrastructure, we want to hear from you.
Why Join Us?
- Work on projects with a direct impact on global sustainability and efficiency.
- Competitive compensation package including performance bonuses and equity.
- Access to cutting-edge hardware and research facilities.
Responsibilities
- Lead the architectural design and implementation of proprietary AI models focused on the 2026 roadmap.
- Drive research initiatives in Large Language Models (LLMs) and reinforcement learning to enhance product capabilities.
- Mentor junior data scientists and engineers, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional teams (Product, Engineering, Design) to translate complex AI concepts into user-friendly applications.
- Evaluate and integrate emerging technologies (e.g., quantum-inspired algorithms) into existing infrastructure.
- Present technical findings and architectural strategies to executive leadership and stakeholders.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field with a focus on AI/ML.
- Minimum of 5 years of professional experience in AI research, machine learning engineering, or a similar technical role.
- Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Strong track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or delivering production-grade AI solutions.
- Demonstrated experience in NLP, Computer Vision, or multi-agent systems.
- Excellent problem-solving skills with the ability to navigate ambiguity in a fast-paced startup environment.