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Senior AI Architect @ 2026 Labs

2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are on a mission to define the technological landscape of the year 2026 and beyond. 2026 Labs is seeking a visionary Senior AI Architect to lead our cutting-edge research and deployment of generative intelligence systems.

In this role, you will bridge the gap between theoretical artificial general intelligence (AGI) and scalable, practical applications. You will work with a world-class team of data scientists, engineers, and futurists to build systems that are not only intelligent but ethical and robust.

If you are passionate about the future of technology and want to leave a legacy in the AI industry, we want to hear from you.

Responsibilities

  • Architect Design: Design and implement scalable AI architectures for next-generation applications.
  • Research Leadership: Lead research initiatives in large language models (LLMs), computer vision, and reinforcement learning.
  • System Optimization: Optimize model performance, reduce latency, and ensure high availability in production environments.
  • Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Collaboration: Partner with product managers and stakeholders to translate complex AI capabilities into user-centric solutions.
  • Ethical AI: Ensure all models adhere to ethical guidelines and safety standards.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Experience: 7+ years of experience in AI/ML engineering, with at least 3 years in a senior leadership or architect role.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Knowledge: Deep understanding of neural networks, natural language processing, and transformer models.
  • Soft Skills: Exceptional problem-solving abilities and excellent communication skills.
  • Adaptability: Ability to thrive in a fast-paced, experimental environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Distributed Systems Leadership AI Architecture Cloud Computing (AWS/GCP)

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