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Senior AI Architect - 2026 Systems

2026 Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are 2026 Systems, a forward-thinking technology firm dedicated to pioneering the artificial intelligence infrastructure of the future. We are currently seeking a visionary Senior AI Architect to lead our core research and engineering division. In this pivotal role, you will architect the technical backbone for our flagship products, ensuring scalability, security, and breakthrough performance.

You will be at the intersection of deep learning research and production engineering, driving the roadmap that defines our competitive advantage in the 2026 market landscape.

Responsibilities

  • Design and implement scalable machine learning pipelines and distributed computing architectures.
  • Lead the technical strategy for the 2026 product roadmap, focusing on advanced LLMs and Computer Vision.
  • Mentor and cultivate a high-performance engineering culture within the AI research team.
  • Optimize model latency and throughput to ensure real-time performance in high-traffic production environments.
  • Collaborate closely with data scientists to translate cutting-edge research prototypes into deployable APIs.
  • Establish best practices for MLOps, CI/CD, and model governance.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
  • Minimum of 8 years of experience in software engineering with a strong focus on Machine Learning and AI.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of leading large-scale technical projects from conception through deployment.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning PyTorch TensorFlow AWS Kubernetes Docker Distributed Systems NLP Computer Vision

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