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Lead AI Architect - Project 2026

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to build the future?

Aether Dynamics is pioneering the next era of technology with our Project 2026 initiative. We are seeking a visionary Lead AI Architect to design and implement the adaptive intelligence systems that will define the technological landscape of 2026 and beyond.

In this role, you will not just write code; you will architect the neural foundations of tomorrow. You will lead a world-class team of engineers and data scientists, pushing the boundaries of Generative AI, Large Language Models (LLMs), and autonomous systems.

Why join us?

β€’ Work on high-impact, futuristic technologies.
β€’ Competitive compensation and equity packages.
β€’ Flexible remote and on-site hybrid options in San Francisco.

If you are a technical leader who thrives in ambiguity and wants to define the roadmap for the year 2026, we want to hear from you.

Responsibilities

  • Architect and deploy scalable AI models for the Project 2026 infrastructure, ensuring high availability and low latency.
  • Lead a cross-functional team of Machine Learning Engineers and Data Scientists to drive research and development.
  • Design robust neural network architectures using Python, TensorFlow, and PyTorch.
  • Collaborate with product managers to translate complex requirements into technical roadmaps.
  • Optimize existing algorithms for performance, scalability, and cost-efficiency in cloud environments.
  • Establish best practices for code quality, testing, and CI/CD pipelines.
  • Mentor junior staff and conduct technical reviews to foster a culture of continuous learning.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of professional experience in software engineering, with 3+ years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven experience in designing and deploying LLMs and NLP solutions.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python Machine Learning Artificial Intelligence TensorFlow PyTorch Cloud Computing AWS GCP Docker Kubernetes NLP LLMs

Ready to Take This Challenge?

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

Apply Now

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