Job Description
The Future is Now. At Nexus Horizon AI, we don't just predict the future; we engineer it. We are on a mission to build the foundational intelligence layer that will define the technological landscape of 2026 and beyond. As we scale our generative AI capabilities, we are seeking a visionary Senior AI Architect to lead our R&D division.
In this pivotal role, you will bridge the gap between theoretical breakthroughs and production-grade infrastructure. You will be responsible for designing scalable machine learning systems that can handle petabytes of data while maintaining sub-millisecond latency. If you are passionate about the next generation of Artificial General Intelligence (AGI) and want to leave a lasting impact on the industry, we want to meet you.
Why Nexus Horizon?
- Work on cutting-edge research that shapes the 2026 tech roadmap.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a focus on innovation.
Responsibilities
- Architect End-to-End AI Solutions: Design and implement robust, scalable machine learning pipelines capable of supporting enterprise-grade applications for 2026.
- Lead Research & Development: Spearhead the exploration of next-gen algorithms, focusing on multimodal learning and large language model optimization.
- Model Deployment: Oversee the transition from research prototypes to production environments using containerization (Docker/Kubernetes) and serverless architectures.
- Mentorship: Cultivate a high-performance engineering culture by mentoring junior data scientists and AI engineers, conducting code reviews, and setting technical standards.
- Performance Optimization: Continuously monitor and optimize model inference times and resource utilization to ensure cost-effectiveness.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a senior architecture or lead role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing systems.
- Specialized Knowledge: Proven track record in developing Large Language Models (LLMs) or Generative Adversarial Networks (GANs).
- Problem Solving: Exceptional ability to solve complex, unstructured problems and translate business requirements into technical specifications.