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Senior AI Architect (2026 Vision) - San Francisco, CA

2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are at the precipice of a new era in technology. As we look toward 2026, 2026 Innovations is building the infrastructure for a world where autonomous intelligence seamlessly integrates into daily life. We are seeking a visionary Senior AI Architect to lead our research division, designing the neural frameworks that will define the future of human-machine interaction.

In this role, you won't just maintain existing systems; you will pioneer the next generation of Generative AI and Quantum-Enhanced Machine Learning. Join us in shaping the technological landscape of tomorrow, today.

Responsibilities

  • Architect and deploy scalable, high-performance neural network infrastructures capable of processing petabytes of real-time data.
  • Lead the research and development of next-generation Large Language Models (LLMs) with a focus on reasoning, safety, and autonomy.
  • Collaborate with cross-functional teams of quantum physicists and software engineers to integrate quantum algorithms into classical ML pipelines.
  • Define and implement ethical guidelines and safety protocols for autonomous AI agents.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Present complex technical concepts to executive stakeholders and non-technical audiences.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, Physics, or a related field with a focus on Artificial Intelligence.
  • Minimum of 7 years of professional experience in machine learning engineering, deep learning, or AI research.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, AWS, or GCP).
  • Proven track record of publishing research papers in top-tier conferences (NeurIPS, ICML, ICLR) or shipping production-level AI products.
  • Strong understanding of machine learning ethics, bias mitigation, and responsible AI practices.
  • Ability to thrive in a fast-paced, high-stakes startup environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Cloud Computing AWS Kubernetes Ethics Research

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