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Senior AI Architect: 2026 Horizon

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are looking for a visionary Senior AI Architect to define the technological landscape for the year 2026. At Nexus Future Labs, we are not just building the future; we are engineering it. You will be at the forefront of the generative AI revolution, leading the architecture of systems that will redefine human-machine interaction. This is an opportunity to work on high-impact projects in a dynamic, high-growth environment.

Why Join Us?

  • Work on cutting-edge AGI (Artificial General Intelligence) research.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a premium tech office in SF.
  • Access to the latest hardware and research tools.

Responsibilities

  • Architect Future Systems: Design scalable, secure, and efficient ML infrastructure capable of handling next-generation generative models.
  • Define the 2026 Roadmap: Lead the technical strategy for product releases and research initiatives targeted for the 2026 timeframe.
  • Pioneering Research: Collaborate with top-tier researchers to implement novel algorithms in Natural Language Processing (NLP) and Computer Vision.
  • Team Leadership: Mentor a high-performing team of AI engineers and data scientists, fostering a culture of innovation and excellence.
  • Ethical AI Implementation: Ensure all systems adhere to strict ethical guidelines and safety protocols regarding AI deployment.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 10+ years of professional experience in Machine Learning engineering and software architecture.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • AI Expertise: Proven track record of deploying LLMs (Large Language Models) or Generative Adversarial Networks (GANs) at scale.
  • Leadership: Demonstrated ability to lead cross-functional teams and drive complex technical projects from conception to completion.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS Kubernetes System Architecture Leadership Generative AI

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