Job Description
We are looking for a visionary Senior AI Architect to lead the technical strategy for our 2026 product roadmap. Nexus Horizon Labs is pioneering the next generation of Autonomous Agentic AI and Quantum-Assisted Computing solutions. You will be responsible for designing scalable, secure, and efficient machine learning infrastructures that will define the future of human-computer interaction.
In this role, you will not merely maintain existing systems; you will architect the very foundations of our upcoming breakthroughs. We need a technical leader who understands the convergence of classical deep learning and next-generation computing paradigms.
Responsibilities
- Architect the 2026 Vision: Design and implement scalable AI models targeting the 2026 deployment cycle, focusing on ultra-low latency and high-accuracy inference.
- Quantum Integration: Lead the technical strategy for integrating hybrid classical-neural network architectures with emerging quantum computing protocols.
- Infrastructure Scalability: Build robust data pipelines to support high-frequency data ingestion and real-time processing at scale.
- System Optimization: Optimize existing ML models for efficiency, reducing computational overhead by up to 40%.
- Cross-Functional Leadership: Collaborate with product managers, data scientists, and security teams to translate business requirements into cutting-edge technical roadmaps.
- AI Ethics & Safety: Establish best practices and guardrails to ensure responsible AI deployment and compliance with evolving regulations.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence or Computational Physics.
- Experience: Minimum of 5 years of professional experience building production-grade machine learning systems and deep learning models.
- Technical Stack: Expert proficiency in Python, PyTorch, and TensorFlow; strong experience with distributed systems.
- Cloud Mastery: Deep experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Futuristic Tech: Familiarity with quantum computing libraries (e.g., Qiskit, Cirq) or experience with edge computing architectures is a significant plus.