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Senior AI Architect - 2026 Horizon

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to join Nexus Future Labs as we prepare for our strategic launch in 2026. This is a rare opportunity to define the technological backbone of the next generation of human-computer interaction.

In this role, you will lead the engineering of our core AI infrastructure, ensuring scalability, security, and innovation. We are not just building software; we are architecting the future.

Why Join Us?

  • Work on cutting-edge projects that will define the industry standard by 2026.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a prime San Francisco office hub.

Key Responsibilities:

You will be responsible for the end-to-end lifecycle of our AI systems, from theoretical research to production deployment.

Responsibilities

  • Lead the architectural design of scalable, high-performance AI systems for the 2026 roadmap.
  • Develop and optimize deep learning models using Python, TensorFlow, and PyTorch.
  • Implement robust MLOps pipelines to ensure model reliability and continuous integration.
  • Collaborate with product managers and data scientists to translate 2026 vision into technical specifications.
  • Ensure compliance with data privacy regulations and ethical AI standards.
  • Drive innovation in Natural Language Processing (NLP) and Computer Vision.
  • Mentor a team of junior engineers and foster a culture of technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 6 years of experience in machine learning engineering and software development.
  • Expert proficiency in Python and modern frameworks (Django, FastAPI).
  • Strong experience with cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of neural network architectures and optimization techniques.
  • Proven track record of deploying large-scale ML solutions to production environments.
  • Excellent problem-solving skills and ability to thrive in a fast-paced startup environment.

Required Skills

Python TensorFlow PyTorch AWS GCP Machine Learning MLOps Deep Learning NLP Docker Kubernetes Agile

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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