Job Description
Are you ready to define the future of intelligent systems? Nexus Horizon Systems is launching a pioneering 2026 Strategic Initiative aimed at revolutionizing autonomous decision-making and next-generation neural networks. We are seeking a visionary Senior AI Architect to lead our technical roadmap and build scalable, high-performance AI infrastructure.
In this role, you won't just maintain existing systems; you will architect the foundation for the next decade of technological advancement. You will work closely with a world-class team of data scientists, engineers, and product leaders to deliver breakthrough solutions that push the boundaries of what is possible in 2026 and beyond.
Why join us?
- Work on cutting-edge technology with a competitive $180k-$260k salary package.
- Flexible remote-first policy with quarterly innovation hubs in major tech cities.
- Comprehensive health, wellness, and equity packages.
- Opportunity to shape the strategic direction of our flagship 2026 projects.
Responsibilities
- Design and oversee the architecture of complex, scalable AI systems aligned with the 2026 Strategic Initiative goals.
- Lead the research and implementation of novel machine learning algorithms and deep learning frameworks.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Collaborate with cross-functional teams to translate business requirements into technical specifications.
- Ensure system reliability, security, and performance optimization across all AI deployments.
- Identify emerging technologies and trends to integrate into the 2026 product roadmap.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, C++, and at least two major deep learning frameworks (TensorFlow, PyTorch, or JAX).
- Proven track record of leading large-scale distributed systems and data pipelines.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.