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Lead AI Architect: Shaping the Future (2026)

Aether Dynamics
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Welcome to Aether Dynamics, where the future isn't just a prediction—it's a blueprint. We are seeking a visionary Lead AI Architect to spearhead our technology roadmap for the year 2026 and beyond. In this pivotal role, you will define the technological frontier, bridging the gap between theoretical breakthroughs and practical, scalable AI solutions.

Join a team of elite engineers and futurists dedicated to solving humanity's most complex challenges through intelligent systems. You will have the autonomy to innovate, the resources to build, and the impact to change the world.

Responsibilities

  • Define and execute the comprehensive technical roadmap for the 2026 product suite, focusing on advanced AI, predictive modeling, and autonomous systems.
  • Lead the architecture and implementation of scalable machine learning pipelines using cutting-edge frameworks (TensorFlow, PyTorch).
  • Collaborate with product leaders to translate business goals into technical roadmaps for the future.
  • Establish best practices for data ethics, security, and privacy in an era of autonomous technology.
  • Mentor junior engineers and data scientists, fostering a culture of continuous innovation and excellence.
  • Drive research initiatives into emerging technologies such as Quantum AI and Neural Interfaces.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years in a lead or architect role.
  • Deep expertise in Deep Learning, Natural Language Processing (NLP), and Computer Vision.
  • Proven track record of delivering complex, high-performance systems in cloud environments (AWS, GCP, or Azure).
  • Strong understanding of ethical AI principles and regulatory compliance (GDPR, CCPA).
  • Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.

Required Skills

AI Machine Learning Python TensorFlow PyTorch Cloud Architecture System Design Deep Learning NLP Leadership

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