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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: Shaping the 2026 Tech Stack

Aether Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are Aether Dynamics Inc., a pioneer in next-generation computing, seeking a visionary Lead AI Architect to spearhead our technology roadmap for the year 2026. In this pivotal role, you will bridge the gap between theoretical AI capabilities and practical, scalable enterprise solutions that will define our market presence in the coming decade.

As we prepare for the technological leap of 2026, we need a leader who is not just adapting to change but driving it. You will work closely with our C-suite to architect systems that integrate generative AI, quantum-ready interfaces, and sustainable energy-efficient algorithms.

Responsibilities

  • Define and execute the technical vision for the 2026 AI infrastructure stack, ensuring scalability and resilience.
  • Architect high-performance machine learning models that process real-time data streams with zero latency.
  • Lead a team of senior engineers and data scientists in researching emerging 2026 tech trends such as neuromorphic computing.
  • Oversee the migration of legacy systems to our next-generation, cloud-native architecture.
  • Establish best practices for AI ethics, data privacy, and algorithmic transparency.
  • Collaborate with product management to translate strategic business goals into technical roadmaps.

Qualifications

  • 10+ years of experience in software architecture, with a specific focus on Artificial Intelligence and Machine Learning.
  • Deep expertise in Python, TensorFlow, PyTorch, and C++ for high-performance computing.
  • Proven track record of leading large-scale technical projects and mentoring engineering teams.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Kubernetes, Docker).
  • Strong understanding of 2026-era tech stacks, including WebAssembly and Edge Computing paradigms.
  • Master's degree in Computer Science, Data Science, or a related field is highly preferred.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python C++ Strategic Planning 2026 Roadmap

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