Job Description
Join the Vanguard of the 2026 Era.
Nexus Horizon Labs is pioneering the technologies that will define the next decade. We are seeking a visionary Lead AI Architect to design and build the intelligent infrastructure required for our upcoming global expansion. You will bridge the gap between theoretical research and production-grade implementation, ensuring our platforms are robust, secure, and ready for the demands of the future.
In this role, you will shape the technical direction of our AI initiatives, leading a team of elite engineers to develop systems that push the boundaries of what is currently possible. We are not just looking for a coder; we are looking for a futurist who can architect solutions that scale.
Responsibilities
- Define and execute the high-level architectural vision for our AI infrastructure, specifically tailored for the 2026 operational landscape.
- Lead a multidisciplinary team of machine learning engineers and data scientists to develop and deploy state-of-the-art models.
- Design scalable, fault-tolerant systems capable of processing petabytes of real-time data with minimal latency.
- Collaborate with product and business stakeholders to translate complex requirements into technical roadmaps.
- Ensure architectural compliance with security standards and ethical AI guidelines.
- Mentor junior engineers and conduct rigorous code reviews to maintain high engineering standards.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- 10+ years of experience in software architecture, with at least 5 years in a lead capacity focusing on AI/ML systems.
- Deep expertise in Python, PyTorch, TensorFlow, or similar machine learning frameworks.
- Strong background in distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Proven experience in deploying Large Language Models (LLMs) and Generative AI applications.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.