Job Description
In the rapidly evolving landscape of technology leading up to 2026, the demand for autonomous, ethical, and scalable AI systems has reached an inflection point. Quantum Horizon is seeking a visionary Future-Proof AI Architect to lead our next generation of autonomous solutions.
We are not just building software; we are architecting the intelligence that will define the future. You will bridge the gap between cutting-edge research and production-grade systems, ensuring our platforms remain resilient and ahead of the curve in a hyper-connected world.
If you are passionate about the intersection of machine learning, distributed systems, and ethical technology, we want to hear from you.
Responsibilities
- Architect and design scalable, high-performance machine learning pipelines and infrastructure capable of handling petabyte-scale data.
- Lead the technical strategy for Generative AI and Large Language Model (LLM) integration, ensuring alignment with our 2026 vision.
- Collaborate cross-functionally with product managers, data scientists, and engineers to define and deliver product roadmaps.
- Implement rigorous testing, monitoring, and observability frameworks to ensure system reliability and security.
- Research emerging AI trends and technologies to maintain a competitive edge in the market.
- Mentor junior architects and engineers, fostering a culture of technical excellence and continuous learning.
Qualifications
- 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Strong understanding of Deep Learning, Natural Language Processing (NLP), and Computer Vision.
- Proven track record of deploying machine learning models into production environments at scale.
- Excellent problem-solving skills with a focus on optimizing for latency, throughput, and cost.
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.