Job Description
Welcome to the future of technology. Nexus Horizon is pioneering the next generation of artificial intelligence systems designed to solve the complex challenges of 2026 and beyond. We are looking for a visionary Senior AI Architect to lead our research and development division.
In this role, you will not merely maintain existing systems; you will architect the foundational frameworks for the AI era. You will work at the intersection of deep learning, quantum computing, and ethical AI, ensuring our solutions are robust, scalable, and transformative.
Why Join Us?
- Work on cutting-edge projects that define the industry standard for 2026.
- Competitive compensation package and equity options.
- Flexible remote and hybrid work environment in the heart of San Francisco.
- Access to state-of-the-art computing resources and R&D labs.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable machine learning architectures capable of handling 2026-scale data volumes and complexity.
- Lead R&D Initiatives: Spearhead research into emerging technologies including Large Language Models (LLMs), Generative Adversarial Networks (GANs), and hybrid quantum-classical algorithms.
- Define Technical Roadmaps: Work closely with the CTO to establish long-term technical strategies that align with the company's 2026 vision.
- Model Optimization & Deployment: Oversee the end-to-end pipeline of model training, validation, and deployment in production environments.
- Ethical AI Governance: Establish guidelines and frameworks to ensure AI systems are transparent, fair, and free from bias.
- Mentorship: Cultivate a high-performance engineering culture by mentoring junior architects and data scientists.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: Minimum 8+ years of experience in AI/ML engineering, with at least 3 years in a senior or lead architect role.
- Technical Stack: Deep proficiency in Python, TensorFlow, PyTorch, and Hugging Face libraries.
- System Design: Strong background in distributed systems, microservices architecture, and cloud platforms (AWS/GCP/Azure).
- Future-Ready Skills: Familiarity with quantum computing concepts or edge AI deployment is a significant plus.
- Communication: Exceptional ability to translate complex technical concepts into strategic business value for stakeholders.