Job Description
Are you ready to architect the systems of tomorrow?
Nexus Horizon Labs is seeking a visionary Lead AI Architect to spearhead our initiatives targeting the technological landscape of 2026. In this pivotal role, you will not just build software; you will define the infrastructure that powers the next generation of intelligent systems.
We are looking for a thought leader who combines deep technical expertise with a strategic mindset. If you are passionate about pushing the boundaries of what is possible in Artificial Intelligence and Machine Learning, we want to hear from you.
Why Join Us?
• Work on cutting-edge AI infrastructure designed for scalability and efficiency.
• Collaborate with a world-class team of engineers, data scientists, and product strategists.
• Shape the roadmap for our 2026 product releases.
• Competitive compensation package and equity opportunities.
• Flexible remote-first culture with premium office amenities in the heart of San Francisco.
Responsibilities
- Design and architect scalable, high-performance AI systems and neural networks focused on 2026 scalability standards.
- Lead the research and development of novel machine learning algorithms and model optimization strategies.
- Define the technical vision and roadmap for our AI infrastructure, ensuring alignment with business goals.
- Collaborate with cross-functional teams to integrate AI solutions into existing products seamlessly.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Ensure best practices in code quality, testing, and deployment within CI/CD pipelines.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- Minimum of 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or other modern ML frameworks.
- Proven track record of deploying large-scale machine learning models in production environments.
- Strong understanding of cloud architecture (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.