Job Description
Are you ready to engineer the future?
Nexus Horizon Systems is at the forefront of the next industrial revolution. We are seeking a visionary Senior AI Architect to lead the development of next-generation generative AI models and autonomous systems. If you thrive on solving complex problems at the intersection of deep learning, distributed systems, and ethical AI, we want to hear from you.
As a key member of our elite R&D division, you will be responsible for designing the architectural frameworks that power our enterprise-grade AI solutions. You will work in a high-performance environment, collaborating with top-tier engineers and researchers to push the boundaries of what is possible in 2026 and beyond.
Why Join Nexus Horizon?
- Impactful Work: Build technology that will define the future of human-computer interaction.
- Unlimited PTO: We trust our talent to manage their time and well-being.
- Equity Package: Competitive stock options in a high-growth unicorn.
- Top-Tier Benefits: Comprehensive health, dental, and vision coverage, plus a 401(k) match.
Responsibilities
- Architectural Leadership: Design scalable, robust, and secure AI systems using microservices and distributed computing principles.
- Model Development: Spearhead the research and implementation of state-of-the-art Large Language Models (LLMs) and reinforcement learning agents.
- Performance Optimization: Diagnose and resolve performance bottlenecks in training pipelines and inference engines to ensure real-time latency.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Strategy & Roadmap: Define the technical roadmap for AI infrastructure, evaluating new technologies and frameworks to stay ahead of industry trends.
- Collaboration: Partner with product managers and stakeholders to translate business requirements into technical solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field from a top-tier institution.
- Experience: 7+ years of professional experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of distributed training frameworks (Ray, Kubernetes).
- Deep Learning: Extensive knowledge of neural network architectures, transformers, and generative models.
- Cloud Expertise: Hands-on experience deploying AI models on AWS, GCP, or Azure using managed services.
- Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.