Job Description
Are you ready to define the landscape of Artificial Intelligence for the year 2026 and beyond? Apex Horizon Labs is seeking a visionary Lead AI Architect to spearhead the development of our next-generation generative models and autonomous systems. If you thrive on solving complex problems at the intersection of machine learning, quantum computing, and ethical AI, we want to meet you.
In this pivotal role, you will not just build systems; you will architect the future. You will lead a world-class team of engineers in deploying scalable AI infrastructures that power the next wave of digital transformation. We offer a competitive compensation package, equity, and the opportunity to work on projects that will define the technology of tomorrow.
Responsibilities
- Architectural Leadership: Design and oversee the end-to-end architecture of large-scale machine learning systems, ensuring scalability, security, and performance.
- Research & Innovation: Lead research initiatives into emerging paradigms such as Generative Adversarial Networks (GANs), Transformers, and Neuromorphic computing.
- Model Optimization: Deploy and fine-tune state-of-the-art models (LLMs, Diffusion models) to optimize inference speeds and reduce computational costs by 40%.
- Team Mentorship: Guide and mentor junior architects and data scientists, fostering a culture of continuous learning and technical excellence.
- Strategic Planning: Collaborate with product leaders to translate complex AI capabilities into tangible business value and user-centric features.
- Infrastructure Management: Oversee the integration of MLOps pipelines and ensure seamless deployment across cloud and edge environments.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 4 years specifically in designing AI/ML systems at scale.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with Kubernetes and Docker.
- Domain Knowledge: Deep understanding of Deep Learning, Natural Language Processing (NLP), and Computer Vision.
- Leadership: Proven track record of leading cross-functional teams and managing technical roadmaps.
- Problem Solving: Exceptional analytical skills with the ability to troubleshoot complex system bottlenecks.