Job Description
Are you ready to architect the intelligence of tomorrow?
Nexus Horizon Labs is seeking a visionary Senior AI Systems Architect (2026 Focus) to lead the design and implementation of our next-generation artificial intelligence infrastructure. In this pivotal role, you will bridge the gap between theoretical future technologies and scalable, production-ready systems. We are looking for a pioneer who is obsessed with performance, scalability, and the cutting edge of AI evolution.
As we prepare to redefine the technological landscape for the year 2026, you will work directly with our R&D team to build robust frameworks that can handle the exponential growth of data and intelligence.
Responsibilities
- Lead the architectural design and deployment of scalable AI/ML infrastructure targeting 2026 standards.
- Develop and optimize high-performance inference pipelines for Large Language Models (LLMs).
- Collaborate with cross-functional teams to integrate quantum-ready algorithms into legacy systems.
- Ensure system reliability, security, and data integrity across all AI workloads.
- Define technical roadmaps and mentor junior engineers in advanced system design patterns.
- Conduct rigorous code reviews and performance testing to maintain the highest engineering standards.
- Stay ahead of industry trends to propose innovative solutions for future scalability challenges.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Minimum of 7+ years of experience in software engineering, with at least 3 years focused on AI/ML architecture.
- Expert proficiency in Python, C++, and deep learning frameworks (PyTorch, TensorFlow, JAX).
- Strong understanding of cloud-native architecture (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
- Proven track record of deploying production-grade machine learning models at scale.
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, innovative environment.
- Experience with MLOps, data pipeline orchestration (Airflow), and real-time processing.