Job Description
Are you ready to architect the future of intelligence for the year 2026 and beyond?
Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the charge in developing autonomous systems and next-generation Large Language Models (LLMs). We are not just building software; we are defining the trajectory of human-machine interaction.
In this pivotal role, you will bridge the gap between cutting-edge research and scalable production environments, ensuring our platforms are robust, ethical, and infinitely scalable.
Why Join Us?
- Work on projects that define the standard for AI in 2026.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a hub in San Francisco.
- Access to the latest hardware and cloud infrastructure.
Responsibilities
- Architect Next-Gen Systems: Design the core architecture for autonomous AI agents and multimodal models capable of complex reasoning.
- Research Integration: Translate theoretical breakthroughs from top-tier conferences (NeurIPS, ICML) into production-ready code.
- Scalability Optimization: Engineer training and inference pipelines that handle massive data volumes with low latency.
- Ethical AI Governance: Implement safety protocols and bias mitigation strategies to ensure responsible AI deployment.
- Technical Leadership: Mentor a team of senior engineers and researchers, fostering a culture of innovation and technical excellence.
- Cross-Functional Collaboration: Partner with product managers and data scientists to align technical roadmaps with business goals.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
- Experience: 7+ years of experience in machine learning engineering, with at least 3 years in a senior or lead architect role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with distributed systems and high-performance computing.
- Publications: A proven track record of publishing research in top-tier AI conferences or journals.
- System Design: Strong background in designing scalable cloud-native systems and microservices.
- Soft Skills: Exceptional communication skills, capable of explaining complex technical concepts to non-technical stakeholders.