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Senior AI Architect (Project 2026) | San Francisco, CA

Nexus Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Nexus Systems is at the forefront of technological evolution, and we are embarking on an ambitious new chapter with Project 2026. We are looking for a visionary Senior AI Architect to design the frameworks that will define the next era of intelligent computing. This is not just a job; it is an opportunity to shape the digital landscape of the future.

As part of our elite engineering team, you will be responsible for building scalable, robust, and ethical AI systems that will integrate seamlessly into our global ecosystem. You will work directly with C-level leadership to translate complex business requirements into cutting-edge technical solutions.

Why join Project 2026?

  • Work with state-of-the-art technology stacks.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a premium office in the heart of San Francisco.
  • Professional development and continuous learning opportunities.

Responsibilities

  • Lead the architectural design and development of our flagship Project 2026 AI infrastructure.
  • Design and implement scalable machine learning models and neural networks using Python and C++.
  • Collaborate with cross-functional teams to optimize data pipelines and enhance model performance.
  • Ensure the ethical use of AI, implementing fairness and transparency protocols.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay ahead of industry trends and integrate emerging technologies into our roadmap.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5+ years of professional experience in AI/ML engineering.
  • Strong proficiency in Python, TensorFlow, PyTorch, and Kubernetes.
  • Experience with large-scale distributed systems and cloud platforms (AWS/GCP).
  • Deep understanding of Natural Language Processing (NLP) and Computer Vision.
  • Proven track record of delivering production-ready AI solutions.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning PyTorch TensorFlow Kubernetes AWS NLP Computer Vision System Architecture AI Ethics

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