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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Welcome to the future. At Nexus Future Systems, we are not merely building software; we are architecting the reality of 2026 and beyond. As we stand on the precipice of the Quantum-Generative Era, we are seeking a visionary Senior AI & Future Tech Architect to spearhead our initiatives in next-generation intelligence, quantum integration, and human-machine interfaces.


In this pivotal role, you will define the technological roadmap that will drive our industry forward. You will work at the intersection of cutting-edge research and practical application, ensuring our solutions remain at the forefront of innovation. If you are a thought leader who thrives in ambiguity and possesses the technical prowess to build the systems of tomorrow, we want to hear from you.

Responsibilities

  • Architect Next-Gen AI Solutions: Design and oversee the development of scalable, self-learning neural networks and generative models capable of operating in real-time environments.
  • Quantum Integration Strategy: Lead the architectural vision for integrating quantum computing principles into classical AI workflows to solve complex optimization problems.
  • Roadmap Leadership: Define and communicate the long-term technical strategy for emerging technologies, ensuring alignment with business objectives and industry trends.
  • Research & Innovation: Collaborate with top-tier R&D labs and academic institutions to pilot experimental technologies before full-scale deployment.
  • System Scalability: Ensure all future-tech architectures are robust, secure, and capable of scaling to meet the demands of a global user base.

Qualifications

  • Education: PhD in Computer Science, Artificial Intelligence, Quantum Physics, or a related field, or equivalent extensive industry experience.
  • Experience: 10+ years of progressive experience in AI/ML architecture, with at least 3 years in a leadership role overseeing complex technical projects.
  • Technical Mastery: Deep understanding of Machine Learning frameworks (TensorFlow, PyTorch), large language models (LLMs), and quantum computing concepts (Qiskit, Cirq).
  • Problem Solving: Proven track record of solving ambiguous, high-stakes technical problems with innovative solutions.
  • Communication: Exceptional ability to translate complex technical concepts into clear, actionable insights for diverse stakeholders.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Neural Networks System Architecture Python TensorFlow Leadership Strategic Planning

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