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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are on the brink of a technological renaissance, and we are seeking a visionary Senior AI Architect (2026 Roadmap) to lead our R&D division. Nexus Horizon Labs is building the foundational infrastructure for the future of human-machine interaction. In this role, you will not just design algorithms; you will architect the very fabric of the digital reality for the year 2026 and beyond.

You will work at the intersection of Generative AI, Quantum Computing, and Neuro-symbolic systems. If you are passionate about solving humanity's most complex problems and want to leave a legacy in the technology of tomorrow, we want to meet you.

Why Join Us?

  • Work on cutting-edge projects that define the future.
  • Competitive compensation package and equity.
  • Flexible remote-first policy with state-of-the-art equipment.
  • Access to our proprietary quantum simulation clusters.

Responsibilities

  • Architect scalable, fault-tolerant AI infrastructure capable of handling exascale data processing for 2026 workloads.
  • Lead the research and development of next-generation Neural Network architectures, specifically focusing on quantum-classical hybrid models.
  • Define the technical roadmap for AI products, ensuring alignment with long-term strategic goals (2026 vision).
  • Mentor and guide a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams including product managers, UX designers, and quantum physicists to integrate advanced AI capabilities into consumer products.
  • Optimize deep learning models for edge devices and massive distributed cloud environments.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 7+ years of professional experience in AI/ML architecture, with at least 3 years in a senior leadership role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
  • Familiarity with quantum computing concepts and tools (Qiskit, Cirq, or similar) is highly desirable.
  • Proven track record of deploying production-grade AI systems that handle millions of requests per second.
  • Strong problem-solving skills with the ability to navigate ambiguity and drive technical decisions.

Required Skills

Python Machine Learning Artificial Intelligence Neural Networks PyTorch TensorFlow Quantum Computing Kubernetes Distributed Systems Architecture

Ready to Take This Challenge?

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