Job Description
We are building the infrastructure for the year 2026 and beyond. Quantum Horizon Corp is seeking a visionary Lead AI Architect to define the core intelligence systems that will drive our next decade of innovation. If you are passionate about pushing the boundaries of generative AI, neural interfaces, and scalable machine learning, we want to meet you.
In this role, you will lead a team of elite engineers and data scientists to architect solutions that are not only scalable but ethical and future-proof. You will bridge the gap between theoretical AI research and production-grade software, ensuring our platforms remain at the cutting edge of technology.
Why join us?
- Work on projects that shape the future of human-computer interaction.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Design and deploy scalable, high-performance machine learning architectures for the 2026 roadmap.
- Lead a cross-functional team of AI researchers and software engineers to deliver production-ready AI solutions.
- Define technical standards and best practices for AI model training, deployment, and monitoring.
- Collaborate with product managers to translate complex AI capabilities into user-friendly features.
- Ensure the ethical use of AI, focusing on bias mitigation and data privacy compliance.
- Research emerging technologies in Large Language Models (LLMs) and multimodal AI to maintain a competitive edge.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering and at least 5 years in a leadership role within AI/ML.
- Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
- Proven track record of shipping complex, large-scale AI products to market.
- Strong understanding of system design principles, including distributed systems and microservices.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.