Job Description
We are on the precipice of a new era in technology. Nexus Horizon Labs is seeking a visionary Lead AI Architect to define the infrastructure for the 2026 AI landscape. As we move beyond generative models toward autonomous agents and sentient systems, we need a pioneer to architect the scalable, ethical, and robust frameworks that will power the next decade.
In this role, you won't just maintain existing systems; you will invent the paradigms of tomorrow. You will bridge the gap between theoretical research and production-grade engineering, ensuring our AI solutions are not only cutting-edge but also safe and accessible.
Responsibilities
- Architect Next-Gen AI Systems: Design and deploy scalable, multi-modal AI architectures capable of handling the complexity of 2026 and beyond.
- Lead Research & Development: Spearhead internal R&D initiatives focused on emergent technologies like Agentic AI, Reinforcement Learning, and Neuromorphic computing.
- System Optimization: Oversee the end-to-end lifecycle of machine learning models, ensuring high performance, low latency, and minimal environmental impact.
- Ethical AI Governance: Define and implement strict guidelines and safety protocols to ensure AI deployment is bias-free and transparent.
- Technical Mentorship: Cultivate a high-performance engineering culture by mentoring junior architects and data scientists.
- Strategic Roadmapping: Collaborate with C-suite executives to align technical roadmaps with the company’s long-term vision for the future of intelligence.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically in machine learning and deep learning architecture.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Specialized Knowledge: Proven track record in working with Large Language Models (LLMs), Transformers, and Generative Adversarial Networks (GANs).
- Problem Solving: Exceptional ability to solve complex, unstructured problems and translate theoretical research into practical applications.
- Communication: Outstanding verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.