Job Description
Are you ready to engineer the future? Nexus Horizon AI is seeking a visionary Senior AI & Quantum Systems Architect to lead our initiatives in 2026. We are building the infrastructure for autonomous neural networks and quantum-enhanced machine learning models that will redefine human-computer interaction.
In this role, you won't just write code; you will architect the brain of next-generation intelligence. You will bridge the gap between theoretical quantum computing and practical, scalable AI solutions, ensuring our products remain at the forefront of innovation.
Why Join Us?
- Work on cutting-edge technology that defines the 2026 tech landscape.
- Competitive equity package and remote-first flexibility.
- Access to state-of-the-art computing resources and research facilities.
- Collaborate with a world-class team of futurists and engineers.
Responsibilities
- Design and deploy scalable machine learning architectures for next-gen applications, focusing on Generative AI and Quantum Neural Networks.
- Oversee the integration of quantum algorithms into classical cloud infrastructure to optimize processing power.
- Mentor a high-performing team of data scientists and ML engineers, fostering a culture of innovation and continuous learning.
- Ensure ethical AI standards, data privacy compliance, and bias mitigation in all model training processes.
- Collaborate with product and design teams to translate complex data insights into intuitive user experiences.
- Stay ahead of industry trends, evaluating emerging technologies like Neuromorphic Computing.
Qualifications
- Master’s or PhD in Computer Science, Applied Mathematics, or a related field (PhD preferred for this senior role).
- 10+ years of experience in AI/ML engineering, with a proven track record in Deep Learning and Natural Language Processing.
- Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Strong understanding of Large Language Models (LLMs), RAG architectures, and vector databases.
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
- Demonstrated ability to lead cross-functional projects from conception to production deployment.