Job Description
Are you ready to define the future of technology? Quantum Horizon Systems is looking for a visionary Senior AI Architect (2026 Roadmap) to lead our next generation of intelligent systems. In this role, you won't just build software; you will architect the very fabric of our 2026 technological evolution.
We are pioneers in the field of advanced artificial intelligence, working on breakthroughs that will reshape industries. As a key member of our elite technical team, you will be responsible for designing scalable, high-performance neural architectures and guiding our engineering squad towards a future where AI is indistinguishable from human ingenuity.
Why Join Us?
- Impactful Work: Directly influence the 2026 AI roadmap and define the standards for the industry.
- Elite Team: Collaborate with world-class engineers and researchers.
- Future-Proof: Work on cutting-edge technologies that are shaping tomorrow, today.
If you possess a deep understanding of machine learning theory and a passion for building systems that think, we want to meet you.
Responsibilities
- Define and lead the technical vision for the 2026 AI roadmap, ensuring alignment with business goals.
- Design and implement scalable neural network architectures and deep learning models.
- Oversee the end-to-end development lifecycle of AI products, from research to production deployment.
- Mentor and coach senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Evaluate and integrate emerging AI technologies to maintain a competitive edge.
- Collaborate with cross-functional teams to translate complex requirements into robust technical solutions.
- Conduct rigorous code reviews and architecture assessments to ensure system integrity.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 8+ years of professional experience in software engineering, with at least 4 years focused on AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
- Proven track record of deploying large-scale AI models into production environments.
- Strong understanding of distributed systems, cloud computing (AWS/GCP/Azure), and big data technologies.
- Excellent leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.
- Experience with NLP, Computer Vision, or Reinforcement Learning is a strong plus.