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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

Nexus 2026
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the Future of Intelligence

Nexus 2026 is at the forefront of the next technological revolution. We are seeking a visionary Senior AI Architect to design and implement the infrastructure that will power the applications of tomorrow. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering, ensuring our solutions are not only cutting-edge but also robust and ethical.

Join a team of world-class engineers and researchers dedicated to pushing the boundaries of machine learning, natural language processing, and generative AI. If you are passionate about building systems that define the future, we want to hear from you.

Responsibilities

  • Design and architect scalable AI/ML infrastructure capable of handling petabyte-scale data.
  • Lead the end-to-end development lifecycle of complex machine learning models, from experimentation to deployment.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to define technical requirements and roadmaps.
  • Establish best practices for code quality, testing, and deployment within the AI ecosystem.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Ensure compliance with ethical AI guidelines and data privacy regulations.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or architectural role.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Deep understanding of distributed systems, MLOps, and data engineering pipelines.
  • Proven track record of delivering high-impact AI products in a fast-paced environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Kubernetes AWS Cloud Architecture Data Engineering AI Ethics Leadership

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