Job Description
Are you ready to architect the digital frontier? Nexus Horizon Labs is seeking a visionary Principal AI Architect to spearhead our groundbreaking 2026 Roadmap initiative. We are building the next generation of adaptive intelligence, and we need a leader who understands the convergence of quantum computing, generative models, and scalable infrastructure.
In this pivotal role, you will define the technical vision for our flagship product, ensuring we are not just keeping pace with industry trends, but setting them. You will bridge the gap between theoretical research and production-grade deployment, working alongside world-class engineers and data scientists.
Why Join Us?
We offer a competitive compensation package, equity opportunities, and a culture that prioritizes innovation over bureaucracy. If you are passionate about the future of technology and want to leave a lasting impact on the industry, this is your opportunity.
Responsibilities
- Lead the architectural design and implementation of scalable AI infrastructure for the 2026 roadmap.
- Define and enforce technical standards, best practices, and coding guidelines for the AI engineering team.
- Conduct deep-dive research into emerging AI technologies, including Large Language Models (LLMs) and predictive analytics.
- Collaborate with cross-functional teams including Product, Design, and R&D to translate business goals into technical solutions.
- Mentor senior engineers and junior developers, fostering a culture of continuous learning and technical excellence.
- Optimize model performance, latency, and cost-efficiency in cloud environments.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, Physics, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Strong understanding of machine learning algorithms, neural networks, and distributed systems.
- Proven track record of leading high-performance teams and managing complex technical projects.