Job Description
The Opportunity: Join Nexus Horizon as a Senior AI Architect for Project 2026, our ambitious initiative to architect the intelligence layer of the next decade. You will lead the development of foundational AI models that will redefine how enterprises interact with data and automate complex decision-making processes. This is a unique opportunity to work on cutting-edge technology that will shape the future of the industry.
Why Nexus Horizon? We are a remote-first organization with a hub in San Francisco, dedicated to pushing the boundaries of artificial general intelligence (AGI) and ethical machine learning. We offer a competitive compensation package, equity options, and a culture that prioritizes innovation and autonomy.
Responsibilities
- Architect Scalable AI Infrastructures: Design and implement robust, scalable machine learning pipelines and large language model (LLM) architectures tailored for enterprise deployment.
- Lead Research & Development: Spearhead R&D efforts to pioneer new algorithms and model fine-tuning techniques that push the boundaries of current AI capabilities.
- Model Optimization: Optimize model performance, reduce latency, and ensure high availability of AI services across distributed cloud environments.
- Team Mentorship: Guide a team of talented data scientists and engineers, fostering a culture of technical excellence and continuous learning.
- Strategic Planning: Define the technical roadmap for Project 2026, ensuring alignment with company goals and industry standards.
- Ethical AI Governance: Oversee the implementation of responsible AI practices, ensuring fairness, transparency, and safety in all deployed models.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (or equivalent professional experience).
- Experience: 7+ years of experience in software engineering, with at least 4 years dedicated to designing and deploying large-scale machine learning systems.
- Technical Expertise: Deep proficiency in Python, PyTorch, or TensorFlow; extensive experience with Hugging Face, LangChain, or similar LLM frameworks.
- Cloud Proficiency: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- System Design: Proven ability to design distributed systems capable of handling high-throughput data streams and complex computations.
- Communication: Exceptional ability to translate complex technical concepts into clear strategies for non-technical stakeholders and cross-functional teams.