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Senior AI Architect - Nexus 2026 | San Francisco

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are building the intelligence that will define the year 2026. Nexus 2026 is a forward-thinking research lab and product company focused on next-generation Artificial General Intelligence (AGI) and Post-Quantum computing architectures. We are seeking a visionary Senior AI Architect to lead the design and implementation of our core neural infrastructure.

In this role, you will bridge the gap between theoretical research and production-grade systems. You will be responsible for architecting scalable, fault-tolerant, and ethical AI frameworks that will power the next decade of human-machine interaction. If you are passionate about the future of technology and want to leave a legacy in the history of AI, this is your opportunity.

Why Join Us?

  • Work on projects that will shape the future of humanity.
  • Competitive compensation and equity package.
  • Top-tier talent and cutting-edge technology.
  • Flexible remote and hybrid work options.

Responsibilities

  • Architect and design scalable machine learning pipelines and neural network infrastructures.
  • Lead the research and implementation of next-generation algorithms for autonomous systems.
  • Collaborate with cross-functional teams to integrate AI models into real-world applications.
  • Ensure system reliability, security, and ethical compliance in AI deployment.
  • Mentor junior engineers and data scientists to foster a culture of innovation.
  • Stay ahead of industry trends in AI, quantum computing, and distributed systems.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Expert proficiency in Python, C++, and TensorFlow or PyTorch.
  • Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of deploying large-scale AI models to production.
  • Strong background in ethical AI and responsible machine learning practices.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Distributed Systems Cloud Architecture Docker Kubernetes Neural Networks Quantum Computing Agile

Ready to Take This Challenge?

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