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Senior AI Architect (2026 Roadmap)

Aether Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the trajectory of Artificial Intelligence? At Aether Systems, we aren't just building software; we are architecting the future of humanity's digital existence. We are seeking a visionary Senior AI Architect to spearhead our 2026 Roadmap initiatives. In this pivotal role, you will bridge the gap between theoretical breakthroughs and practical, scalable implementations. You will work alongside top-tier engineers to build the neural networks that will power the next generation of autonomous systems. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.

Responsibilities

  • Architect the Future: Design and implement scalable, high-performance AI infrastructure aligned with the company's 2026 strategic vision.
  • Technical Leadership: Guide a team of data scientists and engineers in selecting the right models, tools, and cloud architectures for complex problems.
  • Optimization: Continuously research and integrate cutting-edge advancements in Machine Learning, Quantum Computing, and Edge AI.
  • System Design: Lead the end-to-end technical design of distributed systems, ensuring high availability, security, and fault tolerance.
  • Collaboration: Partner with product managers and stakeholders to translate business requirements into robust technical solutions.
  • Mentorship: Foster a culture of innovation by mentoring junior developers and conducting technical reviews.

Qualifications

  • Experience: 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in dynamic environments.
  • Leadership: Proven track record of leading engineering teams and managing cross-functional projects.
  • Innovation: Deep understanding of the latest trends in Generative AI and Large Language Models (LLMs).

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Docker Machine Learning Deep Learning System Architecture Cloud Computing AI NLP

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