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Lead AI Architect - 2026 Horizon Initiative

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are on the precipice of a technological revolution. At Aether Dynamics, we are building the infrastructure for tomorrow, today. We are looking for a visionary Lead AI Architect to spearhead our Project 2026 initiative—a cutting-edge program designed to redefine autonomous systems and generative AI capabilities.

In this high-impact role, you won't just write code; you will architect the future. You will lead a world-class team in developing scalable, secure, and ethical AI models that will power the next decade of human-machine interaction.

Why join us?
We offer a competitive compensation package, equity packages, and the opportunity to work on projects that are shaping the trajectory of global technology by 2026.

Responsibilities

  • Architect and design the core infrastructure for the 2026 AI ecosystem, ensuring scalability and resilience.
  • Lead a cross-functional team of data scientists, engineers, and researchers in the development of next-generation neural networks.
  • Define and implement technical standards, best practices, and architectural patterns for large-scale AI deployments.
  • Collaborate with product leadership to translate the 2026 roadmap into technical deliverables.
  • Oversee system performance, security audits, and optimization strategies.
  • Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent extensive experience).
  • 10+ years of experience in software architecture, with a strong focus on AI/ML infrastructure.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Proven experience designing systems that handle high-volume data streams in real-time.
  • Strong understanding of cloud platforms (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Docker Machine Learning Distributed Systems Cloud Architecture Neural Networks

Ready to Take This Challenge?

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