Job Description
Are you ready to architect the future of Artificial Intelligence?
Nexus Horizon AI is a cutting-edge research lab pioneering the next generation of generative models. As we gear up for the 2026 roadmap, we are seeking a visionary Senior AI Architect to lead our infrastructure and model development teams. This is not just a job; it is an opportunity to define the standards of AI for the coming decade.
We are looking for a technical leader who thrives in ambiguity, possesses deep expertise in machine learning systems, and is passionate about building scalable, ethical, and high-performance AI solutions.
Why Join Us?
- Impactful Work: Directly influence the trajectory of AGI research and deployment.
- Competitive Compensation: Top-tier salary and equity package for top-tier talent.
- Flexible Environment: Hybrid work model with a focus on autonomy and results.
Responsibilities
- Architect and design scalable machine learning infrastructure capable of supporting next-generation model training (2026+ requirements).
- Lead the technical strategy for optimizing model performance, reducing latency, and improving inference efficiency.
- Collaborate with cross-functional teams of researchers and engineers to integrate novel AI capabilities into production environments.
- Define and enforce best practices for data governance, model security, and ethical AI usage.
- Mentor senior engineers and conduct technical architecture reviews to ensure code quality and scalability.
- Stay ahead of industry trends in deep learning, distributed systems, and edge computing.
Qualifications
- Master’s or PhD degree in Computer Science, Machine Learning, or a related quantitative field (or equivalent professional experience).
- 8+ years of experience in software engineering, machine learning engineering, or AI research.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of deploying large-scale ML models to production (AWS, GCP, or Azure).
- Strong understanding of distributed systems, cloud architecture, and high-availability systems.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.