Job Description
Nexus Horizon Technologies is pioneering the way we interact with digital intelligence. As we scale towards our 2026 Global Intelligence Initiative, we are seeking a visionary Senior AI Architect to lead our next-generation model development and infrastructure design.
In this pivotal role, you will be at the forefront of defining the technological landscape for the near future. You will bridge the gap between theoretical AI research and scalable production systems, ensuring our platforms remain competitive and revolutionary in the rapidly evolving tech ecosystem of 2026.
Why Join Us?
We offer a competitive package, stock options, and the opportunity to work on projects that define the future of human-machine interaction. Our culture is built on innovation, transparency, and a relentless pursuit of excellence.
Responsibilities
- Design and architect scalable AI systems capable of handling next-generation data loads for the 2026 era.
- Lead the development and deployment of Large Language Models (LLMs) and Generative AI frameworks.
- Collaborate with cross-functional teams to integrate AI solutions into core business products.
- Ensure AI systems are ethical, transparent, and compliant with global data regulations.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Research and prototype cutting-edge algorithms to stay ahead of industry trends.
- Optimize model performance, latency, and resource efficiency for cloud environments.
Qualifications
- Ph.D. in Computer Science, Artificial Intelligence, or a related technical field (or equivalent extensive experience).
- 8+ years of professional experience in Machine Learning, AI architecture, or software engineering.
- Deep expertise in Python, PyTorch, TensorFlow, or similar ML frameworks.
- Proven track record of deploying production-ready AI models at scale.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.