Job Description
Are you ready to architect the future of intelligence? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our research initiatives aimed at defining the technological landscape of 2026 and beyond. We are pushing the boundaries of Generative AI and Quantum Machine Learning, and we need a technical leader who thrives in ambiguity and innovation.
In this role, you will bridge the gap between theoretical research and practical application, building scalable systems that will power the next generation of autonomous agents. Join a team of elite engineers and data scientists dedicated to solving the world's most complex problems with cutting-edge technology.
Why Join Us?
- Work on next-generation AI models with significant equity and impact.
- Collaborate with world-class researchers in a state-of-the-art facility.
- Shape the roadmap for the 2026 technological evolution.
Responsibilities
- Architect & Lead: Design and implement high-performance AI infrastructure capable of processing petabyte-scale datasets in real-time.
- Research & Development: Spearhead the exploration of Quantum Machine Learning (QML) algorithms and their integration into current deep learning frameworks.
- Model Optimization: Oversee the fine-tuning and optimization of Large Language Models (LLMs) for edge deployment and latency reduction.
- Technical Strategy: Define the technical roadmap for the 2026 product suite, ensuring alignment with business goals and industry trends.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Cross-Functional Collaboration: Partner with product managers and engineering teams to translate complex AI capabilities into user-centric features.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/Quantum Computing.
- Experience: Minimum of 5+ years of experience in AI/ML engineering, with at least 2 years in a senior leadership or architect role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Apache Spark).
- Quantum Knowledge: Experience with quantum computing libraries (Qiskit, Cirq) or familiarity with quantum algorithms is a strong plus.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver robust, scalable solutions under tight deadlines.