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Senior AI Architect - 2026 Systems

2026 Systems
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are the architects of tomorrow, building the foundational technologies that will define the year 2026. At 2026 Systems, we don't just predict the future; we engineer it. We are seeking a visionary Senior AI Architect to lead our research division, focusing on next-generation neural networks and predictive modeling.

Why join 2026 Systems?

  • Work on projects that are shaping the technological roadmap for the next decade.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a central hub in the Bay Area.

Join us in building the future.

Responsibilities

  • Architect Future-Ready AI: Design and deploy scalable machine learning models tailored for the 2026 ecosystem.
  • Lead Innovation: Spearhead R&D initiatives to pioneer new algorithms in predictive analytics and generative AI.
  • Technical Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of excellence and continuous learning.
  • System Optimization: Oversee the optimization of large-scale data pipelines and infrastructure for high-performance computing.
  • Strategic Planning: Collaborate with product leadership to define the technical roadmap for our flagship 2026 products.
  • Security & Compliance: Ensure all AI systems adhere to the highest standards of data privacy and ethical AI usage.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: Minimum 7+ years of experience in AI engineering, with at least 3 years in a senior architectural role.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Spark).
  • Leadership: Proven track record of leading technical teams and managing cross-functional projects.
  • Problem Solving: Exceptional ability to solve complex, unstructured problems in dynamic environments.
  • Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts to stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Kubernetes Spark Cloud Architecture AI Ethics

Ready to Take This Challenge?

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