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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect – Vision 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

Nexus Future Systems is at the forefront of innovation, pioneering the technologies that will define the Vision 2026 era. We are seeking a visionary Senior AI Architect to lead our research and development in generative adversarial networks and autonomous decision-making systems.

In this role, you won't just build software; you will architect the cognitive infrastructure of tomorrow. You will collaborate with a world-class team of engineers, data scientists, and futurists to solve humanity's most complex challenges. If you are passionate about the intersection of artificial intelligence and the future of work, this is your opportunity to shape the landscape of 2026.

Responsibilities

  • Design and deploy scalable AI models capable of operating in edge environments and complex cloud infrastructures.
  • Lead the architectural roadmap for our proprietary Neural Processing Units (NPUs) and generative models.
  • Conduct rigorous R&D to stay ahead of industry trends and define the technical vision for 2026.
  • Mentor junior developers and foster a culture of technical excellence, innovation, and ethical AI practices.
  • Translate complex AI concepts into actionable product features and high-level technical strategies.
  • Collaborate cross-functionally with product managers, designers, and stakeholders to deliver high-impact solutions.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • 7+ years of professional experience in machine learning engineering and software architecture.
  • Proficiency in Python, TensorFlow, PyTorch, and C++.
  • Deep experience with distributed systems, microservices, and major cloud platforms (AWS, GCP, or Azure).
  • Strong problem-solving skills with a focus on building robust, scalable, and secure systems.
  • Demonstrated ability to lead technical teams and drive projects from concept to production.

Required Skills

Python Machine Learning AI Architecture Distributed Systems Cloud Computing TensorFlow PyTorch AWS GCP

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