Job Description
We are on a mission to define the technological landscape of 2026. At Nexus Horizon Labs, we are building the infrastructure for the next generation of Agentic AI and sustainable computing. We are looking for a visionary Senior AI Architect to lead our research and development division in San Francisco.
In this role, you won't just be maintaining systems; you will be architecting the future. You will be at the forefront of integrating quantum-inspired algorithms with large language models to create adaptive, self-healing intelligent systems. If you are passionate about the roadmap to 2026 and want to build the tools that will define the next decade of technology, we want to meet you.
Why Join Us?
- Work on cutting-edge projects that directly impact the trajectory of AI development.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in the heart of the Bay Area.
- Access to top-tier hardware for model training and experimentation.
Responsibilities
- Architectural Leadership: Design and implement scalable, high-performance AI systems specifically tailored for 2026 infrastructure standards, focusing on low-latency edge computing and federated learning.
- Model Strategy: Lead the research and integration of next-gen generative models, including multimodal AI and autonomous agent frameworks.
- Technical Mentorship: Guide a team of junior data scientists and machine learning engineers, fostering a culture of innovation and technical excellence.
- System Optimization: Oversee the deployment pipeline, ensuring models are optimized for inference speed and resource efficiency on cloud-native platforms.
- Stakeholder Communication: Translate complex technical concepts into strategic roadmaps for stakeholders and non-technical leadership.
- Future-Proofing: Continuously evaluate emerging technologies (e.g., neuromorphic computing, advanced NLP) to stay ahead of the 2026 technology curve.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 8+ years of experience in software engineering and 5+ years specifically in AI/ML architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
- Domain Knowledge: Deep understanding of Large Language Models (LLMs), Reinforcement Learning from Human Feedback (RLHF), and Vector Databases.
- Problem Solving: Proven track record of solving complex scalability and performance bottlenecks in production environments.
- Soft Skills: Exceptional communication skills with the ability to articulate technical vision to diverse audiences.