Job Description
Shape the Architecture of Tomorrow.
Nexus Horizon AI is pioneering the next generation of autonomous intelligence. We are looking for a visionary Future-Ready AI Architect to design the foundational infrastructure that will power the AI landscape of 2026 and beyond. This is not just a job; it is an opportunity to define the future of technology.
In this high-impact role, you will bridge the gap between theoretical research and production-scale deployment. You will architect scalable systems capable of handling the exponential growth of generative models and edge computing demands expected in the coming years.
Why Join Us?
- Work on cutting-edge projects that redefine the boundaries of Artificial General Intelligence (AGI).
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art office amenities in Austin.
- Professional development budget focused on emerging tech certifications.
Responsibilities
- Architect and deploy next-generation AI infrastructure optimized for 2026 computational standards, including quantum-ready neural networks.
- Lead the design of scalable MLOps pipelines to ensure high availability and fault tolerance for mission-critical AI applications.
- Collaborate with Research Scientists to translate complex algorithms into robust, production-grade software architectures.
- Implement advanced data governance and security protocols to protect proprietary training data.
- Drive technical strategy for the integration of Large Language Models (LLMs) into real-time autonomous decision systems.
- Conduct performance benchmarking and optimization to reduce latency in distributed AI environments.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specifically focused on AI infrastructure and machine learning systems.
- Deep expertise in Python, C++, and high-performance computing frameworks (PyTorch, TensorFlow).
- Strong proficiency in cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
- Experience designing microservices architectures that support rapid iteration and deployment.
- Excellent problem-solving skills with a track record of leading complex technical initiatives from concept to completion.
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field is highly preferred.