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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - The 2026 Initiative

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

We are pioneering the next generation of artificial intelligence infrastructure. At Nexus Future Systems, we are defining the roadmap for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our core research and engineering division.


In this pivotal role, you will design scalable neural network architectures and drive the technical strategy for our autonomous systems. You will work with a world-class team to solve complex problems in deep learning, computer vision, and natural language processing.


Why join us?

  • Work on cutting-edge technology that will define the future of automation.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with a hub in San Francisco.
  • Access to state-of-the-art computing resources and research grants.

Responsibilities

  • Architect and implement scalable machine learning pipelines and deep learning frameworks.
  • Lead the technical direction for the 2026 AI Initiative, ensuring alignment with long-term strategic goals.
  • Optimize model performance and inference latency for real-time applications.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers.
  • Mentor junior developers and conduct rigorous code reviews to maintain engineering excellence.
  • Ensure system security, reliability, and compliance with ethical AI standards.
  • Stay at the forefront of industry trends to integrate emerging technologies into our stack.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 8+ years of experience in machine learning engineering and large-scale system design.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Deep understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience deploying AI models to production environments with high availability.
  • Strong analytical skills and the ability to troubleshoot complex algorithmic issues.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS Kubernetes System Design Architecture

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