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Senior AI Architect - 2026 Vision

Aether Dynamics
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027



Job Description

The Future of Intelligence Awaits

We are a premier research lab pioneering the technologies that will define the year 2026. We are seeking a visionary Senior AI Architect to lead our core research division. You will be at the forefront of developing next-generation Generative AI, Agentic Systems, and Neural Interfaces. If you are passionate about solving the hardest problems in machine learning and shaping the trajectory of artificial general intelligence, we want to hear from you.

Why Join Us?

  • Work on projects with a 2026 launch horizon.
  • Competitive compensation package with equity.
  • Collaborate with world-class engineers and researchers.
  • Flexible remote-first culture with state-of-the-art facilities.

Responsibilities

  • Architect Advanced Systems: Design and implement scalable, fault-tolerant architectures for large-scale AI models and neural networks.
  • Lead Research Initiatives: Spearhead the exploration of novel algorithms in Reinforcement Learning and Multi-Modal Learning.
  • Mentor & Inspire: Guide a team of talented ML engineers and data scientists, fostering a culture of innovation and excellence.
  • Optimize Performance: Push the boundaries of inference speed and model efficiency using cutting-edge hardware accelerators.
  • Cross-Functional Collaboration: Partner with product and engineering teams to translate theoretical research into deployable production solutions.
  • Stay Ahead: Continuously evaluate emerging trends in the AI landscape to ensure our technology remains ahead of the curve.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
  • Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior leadership role.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed systems and cloud infrastructure (AWS/GCP).
  • Model Expertise: Proven track record of deploying state-of-the-art Large Language Models (LLMs) or Multimodal systems.
  • Problem Solving: Exceptional ability to debug complex systems and optimize for production environments.
  • Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems AWS GCP Large Language Models Reinforcement Learning System Design

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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