Job Description
The Future is Now, and We Need Your Vision.
Nexus Horizon is pioneering the technologies that will define the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our Research & Development division. In this role, you won't just implement existing models; you will design the infrastructure, algorithms, and ethical frameworks for the next generation of intelligent systems.
We are looking for a builder who thrives on ambiguity and is passionate about the intersection of Generative AI, Autonomous Agents, and Large Language Models (LLMs). If you want to architect the digital future, this is your stage.
Why Join Us?
- Work on cutting-edge technology with a team of world-class researchers.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium office amenities in San Francisco.
Responsibilities
- Architect Scalable Systems: Design and implement robust, high-performance AI infrastructure capable of handling billions of inference requests.
- Pioneering R&D: Lead research initiatives into emerging AI paradigms expected to dominate the 2026 landscape, including Agentic Workflows and Multimodal Models.
- Model Optimization: Drive the optimization of Large Language Models for speed, accuracy, and energy efficiency using quantization and distillation techniques.
- Ethical AI Implementation: Establish governance frameworks and safety protocols to ensure AI systems are fair, transparent, and aligned with human values.
- Cross-Functional Leadership: Collaborate with product managers, engineers, and designers to translate complex technical concepts into user-friendly features.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Proven experience with Hugging Face, LangChain, or similar LLM frameworks.
- Architecture Skills: Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and MLOps pipelines.
- Problem Solving: Exceptional ability to solve complex, unstructured problems and think critically about system boundaries and edge cases.