Job Description
We are on the cusp of a technological revolution. As we look toward the year 2026, the boundaries of Artificial Intelligence and autonomous systems are dissolving. Nexus Horizon is seeking a visionary Senior AI Architect to lead our R&D division focused on next-generation predictive algorithms and neural interfaces.
In this pivotal role, you will define the technical roadmap for our flagship products, ensuring they are not just relevant today, but architecturally superior for the future. You will bridge the gap between theoretical machine learning breakthroughs and scalable, production-ready software.
Why Join Nexus Horizon?
- Work on cutting-edge projects that define the future of work and technology.
- Competitive equity package and performance bonuses.
- Top-tier benefits and flexible remote/hybrid work culture.
Responsibilities
- Architectural Leadership: Design scalable, high-performance AI systems and infrastructure capable of supporting the demands of the 2026 technological landscape.
- Algorithm Development: Spearhead the development of advanced machine learning models, focusing on Generative AI and predictive analytics.
- Team Mentorship: Mentor a team of talented data scientists and engineers, fostering a culture of innovation and technical excellence.
- Strategic Roadmapping: Collaborate with product leaders to define technical roadmaps and ensure alignment with business goals.
- Research Integration: Stay ahead of the curve by integrating the latest research findings from top AI conferences into our product suite.
- Performance Optimization: Continuously monitor, evaluate, and optimize system performance, latency, and cost-efficiency.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
- Experience: 10+ years of experience in software engineering, with a minimum of 5 years specifically in AI/ML architecture.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
- Leadership: Proven track record of leading high-performing engineering teams and delivering complex projects on time.
- Problem Solving: Strong ability to deconstruct complex problems into actionable technical solutions.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.