Job Description
We are on a mission to define the technological landscape of 2026 and beyond. Nexus Horizon Labs is seeking a visionary Lead AI Architect to spearhead the development of next-generation artificial intelligence systems. You will be responsible for designing scalable, secure, and innovative architectures that power the future of our platform.
Why You’ll Love It Here:
- Work on cutting-edge projects that shape the future.
- Competitive salary and equity package.
- Flexible remote-first culture with state-of-the-art equipment.
Role Overview:
In this pivotal role, you will bridge the gap between theoretical research and practical engineering. You will lead a high-performing team of data scientists and engineers, ensuring our AI infrastructure is robust, efficient, and future-proof.
Responsibilities
- System Architecture: Design and oversee the implementation of complex AI and machine learning infrastructure for scalable, high-availability applications.
- Leadership: Mentor and manage a cross-functional team of engineers, fostering a culture of innovation and technical excellence.
- Strategy: Define the technical roadmap for AI initiatives, ensuring alignment with business goals and emerging industry trends.
- Optimization: Continuously monitor system performance and optimize models for speed, accuracy, and cost-efficiency.
- Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into actionable development plans.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related field.
- Experience: 10+ years of experience in software engineering, with at least 5 years in a lead or architect role focusing on AI/ML.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to solve complex technical challenges and drive technical decision-making.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders.