Job Description
Are you ready to build the infrastructure of tomorrow?
Nexus Horizon Labs is a pioneering research firm dedicated to defining the technological landscape of 2026. We are seeking a visionary Lead AI Architect to spearhead the development of next-generation autonomous systems and quantum-ready neural networks. If you are passionate about pushing the boundaries of what is possible in artificial intelligence, this is your opportunity to shape the future.
In this role, you will lead a world-class team of engineers and data scientists in deploying scalable machine learning models that redefine industry standards. You will work in a fast-paced, innovative environment where cutting-edge research meets practical application.
Responsibilities
- Architect Advanced AI Systems: Design and implement scalable, robust machine learning pipelines and neural network architectures capable of processing multi-modal data streams in real-time.
- Lead Research & Development: Drive the R&D roadmap for proprietary 2026-era algorithms, focusing on generative AI, reinforcement learning, and edge computing optimization.
- Team Leadership: Mentor and manage a diverse team of AI engineers and researchers, fostering a culture of innovation, code excellence, and continuous learning.
- Strategic Integration: Collaborate with product and engineering teams to integrate complex AI models into production environments, ensuring high performance and minimal latency.
- Performance Optimization: Continuously monitor, debug, and optimize model accuracy, throughput, and resource efficiency to meet enterprise-grade SLAs.
- Ethical AI Compliance: Establish and enforce best practices for responsible AI, ensuring transparency, fairness, and bias mitigation in all deployed models.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field with a focus on Artificial Intelligence or Machine Learning.
- Experience: 7+ years of professional experience in software engineering, with at least 4 years specifically in designing and deploying large-scale machine learning systems.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
- Architecture Skills: Proven track record of designing distributed systems and microservices capable of handling high concurrency and massive data volumes.
- Leadership: Demonstrated ability to lead technical teams, manage cross-functional projects, and influence strategic technical decisions.
- Problem Solving: Exceptional analytical and problem-solving skills with a passion for tackling complex, open-ended engineering challenges.