Job Description
Join Horizon 2026, a cutting-edge research lab at the forefront of the artificial intelligence revolution. We are not just building software for today; we are architecting the intelligent systems that will define the next decade. As our Lead AI Architect, you will sit at the strategic intersection of research and engineering, leading a world-class team to build scalable, robust, and groundbreaking AI solutions.
We are looking for a visionary leader who possesses deep technical expertise and a passion for solving complex problems. If you want to push the boundaries of what's possible in 2026 and beyond, this is your opportunity to make an indelible mark on the industry.
Responsibilities
- Define and execute the long-term technical vision and architecture strategy for Horizon 2026’s flagship AI products.
- Lead the design and implementation of large-scale machine learning infrastructure and pipelines.
- Mentor and grow a high-performing engineering team, fostering a culture of innovation and excellence.
- Collaborate with cross-functional partners, including product managers, data scientists, and researchers, to translate business requirements into technical roadmaps.
- Ensure system reliability, scalability, and security across all deployed AI models and services.
- Stay abreast of the latest advancements in AI, machine learning, and distributed systems to drive continuous improvement.
Qualifications
- Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in a senior or leadership role within AI/ML.
- Deep expertise in machine learning frameworks (TensorFlow, PyTorch) and distributed computing systems (Kubernetes, AWS, GCP).
- Proven track record of leading architectural initiatives and delivering complex systems from conception to production.
- Strong background in NLP, Computer Vision, or Reinforcement Learning is highly preferred.
- Exceptional communication skills with the ability to articulate complex technical concepts to diverse stakeholders.