Job Description
We are on the precipice of a technological revolution, and Nexus Horizon Solutions is leading the charge into the year 2026. We are seeking a visionary Senior AI Architect to spearhead the development of our next-generation generative AI infrastructure. This is not just a job; it is a mission to define the future of intelligent automation and human-AI collaboration.
About the Role
In this pivotal position, you will be responsible for designing scalable, robust, and ethically sound AI systems that will power our products for the next decade. You will work closely with our CTO and product teams to translate the ambitious goals of the 2026 roadmap into technical reality. If you are passionate about pushing the boundaries of what is possible in machine learning and possess the technical prowess to build systems at scale, we want to hear from you.
Why Join Us?
- Work on cutting-edge technology that will define the 2026 landscape.
- Competitive compensation and equity package.
- Unlimited PTO and remote-first culture.
- Access to the latest hardware and research tools.
Responsibilities
- Design and architect end-to-end AI/ML solutions tailored for high-volume production environments.
- Lead the research and implementation of advanced Generative AI models, including LLMs and diffusion models.
- Define technical strategies for the 2026 roadmap, ensuring scalability and performance.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Collaborate with cross-functional teams (Product, Engineering, Design) to translate business requirements into technical specifications.
- Ensure compliance with data privacy regulations and ethical AI standards.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 10+ years of experience in software engineering with a focus on Artificial Intelligence and Machine Learning.
- Deep expertise in Python, TensorFlow, PyTorch, or JAX.
- Proven experience designing and deploying Large Language Models (LLMs) in production.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and microservices.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.