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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are on the cusp of a technological revolution. Nexus Future Labs is seeking a visionary Senior AI Architect to lead the Project 2026 initiative. In this role, you will design and deploy the next generation of adaptive intelligence systems that will redefine the boundaries of human-machine interaction. If you are passionate about shaping the future and want to leave a lasting legacy in the tech industry, we want to hear from you.

Why Join Us?

  • Work with state-of-the-art hardware and software stacks.
  • Competitive compensation package with equity options.
  • Flexible remote-first hybrid work culture.
  • Opportunity to mentor the next generation of engineers.

Responsibilities

  • Design and architect scalable, high-performance neural network models tailored for the Project 2026 roadmap.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to drive AI integration.
  • Optimize model inference latency and accuracy for edge computing environments.
  • Implement robust data pipelines and MLOps strategies to ensure production-grade reliability.
  • Conduct research into emerging AI paradigms, including neuromorphic computing and quantum machine learning.
  • Lead code reviews and establish technical best practices within the AI department.

Qualifications

  • Master’s degree or PhD in Computer Science, Physics, Mathematics, or a related field.
  • Minimum of 7 years of professional experience in AI/ML engineering, with at least 3 years in a leadership or senior architect role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Deep understanding of distributed systems, containerization (Docker/Kubernetes), and cloud infrastructure (AWS/GCP).
  • Proven track record of deploying large-scale machine learning models into production environments.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow C++ Machine Learning Deep Learning Distributed Systems AWS Kubernetes MLOps Neural Networks Computer Vision NLP

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