Job Description
Join the Architects of Tomorrow.
We are Nexus Horizon Technologies, a leading research firm pioneering the technologies that will define the year 2026 and beyond. We are looking for a visionary Principal AI Architect to lead our next-generation Generative AI and Agentic Workforce division.
In this role, you won't just implement existing models; you will architect the foundational systems for autonomous AI agents, spatial computing interfaces, and ethical large language models. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to build the infrastructure for the future, we want to hear from you.
Why Join Us?
We offer a competitive salary, equity package, and the opportunity to work on cutting-edge projects that will shape the global economy of 2026.
Responsibilities
- Strategic Vision: Define the technical roadmap for our AI infrastructure, focusing on scalability, security, and future-proofing for 2026 standards.
- System Architecture: Design and implement robust, distributed AI systems capable of processing real-time data streams and executing complex autonomous tasks.
- Model Development: Lead a team of researchers and engineers in developing proprietary Large Language Models (LLMs) and reinforcement learning agents.
- R&D Leadership: Identify emerging technologies (e.g., neuromorphic computing, edge AI) and evaluate their applicability to our product suite.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate high-level business goals into technical specifications.
- Ethical AI Governance: Establish guidelines and frameworks to ensure AI transparency, fairness, and accountability in all deployments.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 10+ years of experience in software engineering and AI/ML architecture, with at least 5 years in a senior leadership role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
- Generative AI: Proven track record of working with LLMs, RAG (Retrieval-Augmented Generation), and fine-tuning models.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems with elegant, scalable solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and investors.