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Principal AI Architect

Nexus 2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the Future of Intelligence

Join Nexus 2026 Technologies, a pioneering force in next-generation artificial intelligence and quantum computing integration. We are seeking a visionary Principal AI Architect to lead our strategic roadmap aimed at the 2026 deployment horizon. You will define the architectural blueprints for scalable, autonomous systems that will redefine human-computer interaction.

Why Join Us?
At Nexus 2026, we don't just predict the future; we build it. You will work in a state-of-the-art facility in San Francisco, collaborating with world-class engineers and futurists. We offer competitive compensation, equity packages, and the unique opportunity to leave a lasting legacy on the technological landscape.

Responsibilities

  • Lead the architectural design and development of next-generation AI systems, specifically targeting the 2026 roadmap milestones.
  • Oversee the integration of Generative AI models with quantum computing infrastructure to optimize processing power.
  • Establish best practices for scalable machine learning pipelines, data governance, and model deployment.
  • Mentor senior engineering teams and conduct technical evaluations for high-stakes projects.
  • Collaborate with cross-functional stakeholders to translate complex business requirements into robust technical solutions.
  • Ensure ethical AI compliance and robust security protocols across all deployed neural networks.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8 years of experience in AI architecture, Machine Learning, and Deep Learning.
  • Proven expertise in Python, PyTorch, TensorFlow, and large-scale distributed systems.
  • Strong background in designing scalable cloud-native applications (AWS, Azure, or GCP).
  • Experience with quantum computing frameworks and hybrid classical-quantum algorithms.
  • Exceptional leadership skills with a track record of managing high-performance engineering teams.

Required Skills

Python Machine Learning Artificial Intelligence Deep Learning Quantum Computing AWS Docker Kubernetes System Architecture Leadership PyTorch TensorFlow

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