Job Description
Are you ready to define the technology landscape of 2026 and beyond? Horizon AI is at the forefront of the next industrial revolution. We are seeking a visionary Senior AI Architect to lead our advanced machine learning infrastructure initiatives. In this role, you will not just build models; you will architect the foundational systems that power autonomous decision-making, predictive analytics, and next-gen neural networks.
As we prepare for the technological leap of 2026, we need a leader who thrives on ambiguity and possesses a deep understanding of scalable AI systems. Join us in building the future of intelligence.
Why Horizon AI?
- Future-Ready Tech Stack: Work with the latest advancements in Generative AI, Transformer models, and edge computing.
- Premium Compensation: Competitive salary and equity package.
- Global Impact: Your work will directly influence industries from healthcare to autonomous transportation.
Ready to shape the future? Apply today.
Responsibilities
- Architectural Leadership: Design and oversee the development of scalable AI infrastructure, ensuring high availability and performance for 2026 workloads.
- Model Development: Spearhead the research and implementation of cutting-edge deep learning models, including Large Language Models (LLMs) and computer vision systems.
- System Optimization: Identify bottlenecks in data pipelines and inference engines, implementing optimizations to reduce latency and computational costs.
- Team Mentorship: Guide a team of data scientists and ML engineers, fostering a culture of innovation and continuous learning.
- Strategic Roadmap: Define the technical roadmap for AI capabilities, aligning them with the company's long-term vision for the 2026 era.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, AWS/Azure/GCP).
- System Design: Proven ability to design complex, fault-tolerant systems that handle massive data throughput.
- Communication: Excellent verbal and written communication skills, with the ability to translate technical concepts to non-technical stakeholders.