Job Description
Architect the Future of Intelligence in 2026
Join Nexus Horizon AI and build the technological foundation for the year 2026 and beyond.
We are looking for a visionary Senior AI Architect to lead our research and development in next-generation artificial intelligence. In this role, you will define the architectural blueprints for autonomous systems, predictive neural networks, and the quantum-ready infrastructure that will define the next era of human-computer interaction.
At Nexus Horizon, we don't just predict trends; we engineer the future. You will work at the intersection of Generative AI, Quantum Computing, and Ethical Technology, ensuring our solutions are scalable, secure, and revolutionary.
Why Join Us?
- Work on cutting-edge projects that will impact the global landscape.
- Competitive compensation package with equity opportunities.
- Flexible remote-first policy with a premium office in SF.
- Access to state-of-the-art computing resources and labs.
Responsibilities
- Design and implement scalable, high-performance AI architectures for 2026-ready applications.
- Lead the integration of quantum algorithms into existing neural network structures.
- Oversee the end-to-end machine learning lifecycle, from data ingestion to model deployment.
- Define technical roadmaps and mentor a team of junior data scientists and engineers.
- Collaborate with cross-functional teams to translate complex business requirements into technical solutions.
- Ensure all AI systems adhere to strict ethical guidelines and data privacy standards (GDPR/CCPA).
- Publish research papers and contribute to open-source projects in the AI community.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field.
- 10+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
- Experience with quantum computing libraries (Qiskit, Cirq) is highly preferred.
- Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Proven track record of leading high-impact technical projects from concept to production.
- Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.