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Senior AI Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Join the Architects of Tomorrow

Nexus Future Systems is pioneering the technological landscape for the year 2026. We are seeking a visionary Senior AI Architect to lead the development of our next-generation generative AI infrastructure. You will be at the forefront of defining the standards for artificial intelligence in the near future, working on projects that will impact billions of users.

In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI systems are scalable, ethical, and ready for the demands of the coming decade.

Why Join Us?

  • Work on cutting-edge AI infrastructure designed for the 2026 market.
  • Competitive equity package and salary.
  • Flexible remote-first culture with a San Francisco hub.

Responsibilities

  • Architect and deploy scalable machine learning models with a focus on generative AI and Large Language Models (LLMs).
  • Optimize model inference latency and resource utilization to meet 2026 performance benchmarks.
  • Lead a cross-functional team of data scientists and engineers in the research and implementation of novel AI algorithms.
  • Ensure AI systems adhere to ethical guidelines and data privacy regulations.
  • Collaborate with product managers to translate technical requirements into robust AI solutions.
  • Define technical roadmaps for AI capabilities aligned with long-term business goals.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a lead or architect role.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of deep learning architectures, NLP, and computer vision.
  • Experience with MLOps pipelines, cloud platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Strong problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning NLP MLOps TensorFlow PyTorch Generative AI Docker Kubernetes AWS San Francisco CA

Ready to Take This Challenge?

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