Job Description
We are not just building software for today; we are architecting the technological landscape of 2026. Quantum Horizon AI is seeking a visionary Senior AI Architect to lead our R&D division. You will be at the forefront of Generative AI, Agentic workflows, and next-generation neural networks. If you are passionate about defining the future and solving complex scalability challenges, this is your opportunity to shape the industry.
Why Join Us?
- Future-Ready Stack: Work with cutting-edge frameworks designed for the 2026 era.
- Impact: Your code will power autonomous systems used by millions.
- Culture: A diverse, high-performance environment that values innovation over hierarchy.
Key Responsibilities:
- Design and deploy scalable machine learning infrastructure capable of handling petabyte-scale data streams.
- Lead the technical strategy for 2026 AI capabilities, focusing on LLM optimization and multi-modal learning.
- Collaborate with cross-functional teams to integrate AI models into real-world applications seamlessly.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Conduct research on emerging AI paradigms to stay ahead of industry trends.
- Ensure system security, reliability, and performance under high load.
- Define and enforce best practices for model governance and ethical AI usage.
Qualifications:
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
- 5+ years of experience in designing large-scale machine learning systems.
- Deep expertise in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Proven track record of implementing Generative AI models in production environments.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.
- Experience with MLOps tools and CI/CD pipelines is highly desirable.
Responsibilities
- Design and deploy scalable machine learning infrastructure capable of handling petabyte-scale data streams.
- Lead the technical strategy for 2026 AI capabilities, focusing on LLM optimization and multi-modal learning.
- Collaborate with cross-functional teams to integrate AI models into real-world applications seamlessly.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Conduct research on emerging AI paradigms to stay ahead of industry trends.
- Ensure system security, reliability, and performance under high load.
- Define and enforce best practices for model governance and ethical AI usage.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
- 5+ years of experience in designing large-scale machine learning systems.
- Deep expertise in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Proven track record of implementing Generative AI models in production environments.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.
- Experience with MLOps tools and CI/CD pipelines is highly desirable.