Job Description
Are you ready to architect the future? Quantum Horizon Systems is pioneering the technologies that will define the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our cutting-edge research division, focusing on next-generation generative AI, spatial computing, and autonomous agent frameworks.
In this role, you won't just maintain existing systems; you will build the foundational infrastructure for the future of human-machine interaction. You will bridge the gap between theoretical AI research and scalable production environments, ensuring our solutions are robust, ethical, and ahead of the curve. If you are passionate about pushing the boundaries of what is possible in 2026 and have a knack for complex problem-solving, we want to hear from you.
Why Join Us?
- Work on revolutionary projects that will shape the next decade of technology.
- Competitive compensation package with equity options.
- Flexible remote-first policy with state-of-the-art equipment.
Responsibilities
- Design and deploy scalable AI systems capable of handling high-throughput inference for 2026-era applications.
- Lead architectural decisions for the integration of Large Language Models (LLMs) and autonomous agents into core products.
- Collaborate with cross-functional teams to translate complex AI concepts into user-friendly features.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Ensure system security, data privacy, and ethical AI compliance in all architectural designs.
- Conduct code reviews and technical architecture reviews to maintain high standards of engineering excellence.
Qualifications
- 7+ years of experience in software engineering, with at least 4 years focused on AI/ML infrastructure and architecture.
- Deep expertise in Python, PyTorch, or TensorFlow, with a proven track record of deploying models to production.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
- Experience with MLOps pipelines, model versioning, and A/B testing frameworks.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Proven ability to work independently in a fast-paced, agile environment.