Job Description
We are seeking a visionary Principal AI Architect to lead our charge into the future of technology. As we architect systems designed for the year 2026 and beyond, you will be at the forefront of defining the next generation of generative AI and autonomous agents.
In this pivotal role, you will bridge the gap between theoretical research and scalable production systems. You will not just build software; you will define the computational paradigms that will power the intelligent enterprises of tomorrow.
Why Join Us?
At Nexus Horizon Labs, we are obsessed with the future. We offer a competitive equity package, a remote-first culture, and the opportunity to work on projects that will shape the trajectory of human-machine interaction.
Responsibilities
- Architect Future-Proof Systems: Design and implement robust, scalable AI architectures capable of handling petabyte-scale data streams with low-latency inference.
- Lead R&D Strategy: Spearhead research initiatives in Large Language Models (LLMs), reinforcement learning, and multimodal AI to align with our 2026 roadmap.
- Technical Leadership: Mentor senior engineers and architects, fostering a culture of innovation and excellence within the AI division.
- Model Optimization: Drive the optimization of models for efficiency, memory usage, and real-time decision-making capabilities.
- Collaboration: Partner with product and engineering teams to translate complex AI capabilities into intuitive user experiences.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: 8+ years of professional experience in software engineering, with at least 5 years specifically focused on machine learning and deep learning systems.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, Apache Spark).
- Strategic Vision: Demonstrated ability to anticipate technological trends and apply them to solve complex business problems.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.