Job Description
We are at the precipice of the technological singularity. Nexus Horizon Systems is looking for a visionary Next-Gen AI Architect (2026 Stack) to lead the development of our proprietary artificial general intelligence infrastructure.
In this pivotal role, you won't just be maintaining legacy models; you will be defining the standards for the 2026 technology landscape. You will work on cutting-edge projects involving Neural Interface Protocols, Post-Transformer Architectures, and Autonomous Decision Systems. If you are obsessed with the future of computing and want to build systems that think, learn, and evolve, we want to hear from you.
Why Join Us?
- Work on the 2026 AI Stack that will define the next decade.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with state-of-the-art office amenities.
- Opportunity to mentor the next generation of AI pioneers.
Responsibilities
- Architect and deploy scalable, high-performance AI models on the 2026 proprietary stack.
- Lead the R&D efforts in developing post-silicon computing interfaces and neural bridging technologies.
- Optimize deep learning inference engines for real-time processing and edge deployment.
- Collaborate with cross-functional teams of data scientists, engineers, and product designers to translate theoretical AI models into production-ready applications.
- Establish best practices for model monitoring, explainability, and ethical AI governance.
- Predict and mitigate technical risks associated with next-generation hardware integration.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of experience in machine learning engineering, with deep expertise in PyTorch and TensorFlow.
- Proven track record of designing and deploying production-grade models serving millions of requests.
- Strong understanding of advanced topics including Large Language Models (LLMs), Reinforcement Learning, and Federated Learning.
- Experience with quantum computing paradigms or next-gen hardware acceleration (e.g., Neuromorphic chips).
- Excellent problem-solving skills and ability to communicate complex technical concepts to diverse stakeholders.