Job Description
Are you ready to define the trajectory of Artificial Intelligence for the next decade? At Nexus Horizon Technologies, we aren't just building software; we are architecting the future. As we launch our groundbreaking 2026 Initiative, we are seeking a visionary Senior AI Architect to lead the design and implementation of next-generation autonomous systems.
In this high-impact role, you will bridge the gap between theoretical AI research and scalable production engineering. You will work with a world-class team to build the infrastructure that powers the AI of tomorrow. If you are passionate about pushing the boundaries of what is possible and have a deep understanding of the AI landscape, we want to hear from you.
Why Join Us?
- Future-Forward Vision: Directly influence the roadmap for AI systems designed for the 2026 era and beyond.
- Competitive Compensation: Top-tier salary and equity package.
- Flexible Environment: Hybrid work model based in our San Francisco HQ.
Responsibilities
- Lead the architectural design and engineering of advanced AI models, including Large Language Models (LLMs) and generative adversarial networks (GANs).
- Define and implement the technical roadmap for our 2026 AI infrastructure, ensuring scalability, security, and performance.
- Collaborate with cross-functional teams (Data Science, Product, Engineering) to integrate AI solutions into core products.
- Establish and enforce best practices for data privacy, ethics in AI, and algorithmic transparency.
- Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
- Conduct research on emerging AI trends to stay ahead of the curve in a rapidly evolving field.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 8+ years of experience in software engineering, with at least 5 years focused specifically on AI/ML architecture.
- Expert proficiency in programming languages such as Python, C++, or Java.
- Deep understanding of machine learning frameworks (TensorFlow, PyTorch, JAX) and distributed computing systems (Kubernetes, AWS, GCP).
- Proven track record of delivering complex AI systems from conception to production.
- Strong knowledge of AI ethics, bias mitigation, and regulatory compliance standards.