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Senior AI Architect 2026

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to build the infrastructure of tomorrow? Nexus Horizon AI is seeking a visionary Senior AI Architect to lead our R&D division in the year 2026. We are not just building software; we are engineering the reality of tomorrow. In this pivotal role, you will define the next generation of neural architectures and integrate quantum computing principles into scalable AI systems.

We are looking for a thought leader who thrives on ambiguity and possesses the technical prowess to navigate the frontier of Artificial General Intelligence (AGI). If you are passionate about creating ethical, high-performance AI that shapes the future of humanity, this is your chance to make history.

Responsibilities

  • Design and implement scalable neural network architectures optimized for next-gen AI models.
  • Lead the integration of quantum computing protocols into existing Machine Learning pipelines.
  • Mentor a high-performance team of engineers and researchers to foster innovation.
  • Oversee system performance, scalability, and reliability across global cloud infrastructure.
  • Define technical roadmaps for AI evolution, ensuring alignment with 2026 strategic goals.
  • Collaborate with cross-functional teams to translate theoretical research into production-ready applications.
  • Ensure ethical AI standards and data governance are embedded in every layer of the system.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in AI/ML development, with a focus on deep learning frameworks.
  • Expert proficiency in Python, Rust, and modern cloud-native technologies (Kubernetes, AWS/Azure).
  • Experience with Quantum Computing libraries (Qiskit, Cirq) is highly desirable.
  • Strong leadership skills with a track record of managing technical teams.
  • Deep understanding of Natural Language Processing (NLP) and Computer Vision.
  • Ability to thrive in a fast-paced, high-stakes R&D environment.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Quantum Computing Python Cloud Architecture Leadership R&D Deep Learning System Design

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