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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the technology stack of 2026? Nexus Future Systems is seeking a visionary Senior AI Architect to lead our research and development division. We are building the infrastructure for the next decade, focusing on next-generation artificial intelligence, quantum computing integration, and autonomous systems.

In this high-impact role, you will bridge the gap between theoretical research and scalable production systems. You will define the architectural vision that will power our global platforms, ensuring they are robust, ethical, and future-proof. If you are passionate about shaping the future of technology and want to work with cutting-edge tools, we want to meet you.

Responsibilities

  • Architect and lead the design of scalable AI/ML systems aligned with the 2026 technology roadmap.
  • Integrate quantum computing principles into existing deep learning workflows to enhance computational power.
  • Develop and optimize large-scale generative models and neural networks for production environments.
  • Define best practices for AI governance, data security, and ethical AI implementation.
  • Mentor a team of talented engineers and conduct rigorous code reviews to maintain high technical standards.
  • Pioneer research in autonomous agents and multi-agent systems.
  • Collaborate with product managers to translate complex technical requirements into viable engineering solutions.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 7+ years of experience in software engineering and AI/ML development.
  • Proven expertise in Python, TensorFlow, PyTorch, and distributed systems architecture.
  • Strong understanding of quantum computing principles and their application to AI algorithms.
  • Excellent communication skills with the ability to translate complex concepts for diverse stakeholders.
  • Demonstrated history of leading high-impact projects from conception to deployment.
  • Experience with cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Quantum Computing System Design AWS Docker Kubernetes AI Ethics

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