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Senior AI Architect | Project 2026

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are at the precipice of a new era. Project 2026 is Apex Future Systems' premier initiative to redefine the boundaries of Artificial General Intelligence (AGI). We are seeking a visionary Senior AI Architect to lead the technical strategy and implementation of our next-generation neural frameworks.

In this role, you won't just build models; you will architect the intelligence of tomorrow. You will work alongside world-class researchers and engineers to deploy scalable, ethical, and powerful AI solutions that will shape the trajectory of humanity's future.

Why Join Us?

  • Impact: Work on the bleeding edge of technology that solves complex global problems.
  • Autonomy: Lead a high-performance team with a culture of innovation and radical candor.
  • Equity: Competitive compensation package including performance-based stock options.

Responsibilities

  • Architect and design scalable AI infrastructure for Project 2026, ensuring high availability and low latency.
  • Lead the research and implementation of novel neural network architectures and deep learning algorithms.
  • Define technical roadmaps and mentor a team of senior engineers and data scientists.
  • Collaborate with product leadership to translate complex AI capabilities into user-centric applications.
  • Ensure ethical AI practices, data privacy, and compliance with emerging regulations.
  • Optimize model performance, reduce inference costs, and improve training efficiency.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior architectural role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
  • Deep understanding of Large Language Models (LLMs), transformers, and generative AI techniques.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and MLOps pipelines.
  • Proven track record of shipping production-level AI products.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Neural Networks MLOps Cloud Architecture Data Science

Ready to Take This Challenge?

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