Job Description
Are you ready to shape the trajectory of artificial intelligence in the coming decade? Nexus Horizon is seeking a visionary Lead AI Architect 2026 to spearhead our research into next-generation generative models and autonomous systems.
We are not just building software; we are architecting the future of human-machine interaction. In this pivotal role, you will define the core architecture for our flagship products, ensuring scalability, security, and unprecedented performance. You will collaborate with a world-class team of engineers, ethicists, and designers to deploy AI solutions that redefine industry standards.
Why Join Us?
We offer a competitive compensation package, equity opportunities, and a flexible remote-first culture that empowers creativity. If you are passionate about the future of AI and want to leave a lasting legacy, this is your chance to lead the charge.
Responsibilities
- Design and implement scalable, high-performance machine learning pipelines for large-scale data sets.
- Lead the research and development of proprietary AI models, focusing on Generative Adversarial Networks (GANs) and Large Language Models (LLMs).
- Optimize deep learning frameworks and algorithms for deployment on edge devices and cloud infrastructure.
- Establish best practices for data governance, model interpretability, and ethical AI compliance.
- Mentor senior engineering teams and conduct rigorous technical architecture reviews to ensure code quality.
- Collaborate with product managers to translate complex technical requirements into innovative solutions.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 8+ years of experience in AI/ML engineering roles, with at least 2 years in a leadership or architectural capacity.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Apache Spark).
- Proven track record of deploying production-level AI systems that have measurable business impact.
- Strong understanding of AI ethics, bias mitigation, and regulatory compliance standards.