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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Horizon

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Horizon Labs as our Lead AI Architect: 2026 Horizon. We are not just building the future; we are defining it. We are seeking a visionary technical leader to spearhead the architectural direction of our next-generation artificial intelligence systems, specifically targeting the breakthrough capabilities expected by 2026.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will lead a world-class team of data scientists and engineers, ensuring our platforms remain at the forefront of innovation in machine learning and predictive analytics.

Why Join Us?

  • Work on projects that directly influence the trajectory of global technology.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with premium San Francisco office access.

Responsibilities

  • Architect and implement robust, scalable AI infrastructure designed to support 2026 enterprise demands.
  • Lead the technical roadmap for our core machine learning models, ensuring alignment with business objectives.
  • Oversee the deployment of Large Language Models (LLMs) and generative AI solutions.
  • Drive code quality and engineering standards across the AI department.
  • Mentor and develop high-performing engineering talent, conducting regular technical reviews.
  • Collaborate with product and research teams to translate complex requirements into technical specifications.
  • Identify and mitigate risks associated with AI model drift and data privacy.

Qualifications

  • Minimum of 8 years of experience in software engineering, with a focus on AI/ML.
  • Proven expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Strong background in distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps.
  • Demonstrated leadership experience managing teams of 5+ engineers.
  • Master’s degree or PhD in Computer Science, AI, or a related technical field.
  • Experience with ethical AI practices and bias mitigation.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps Cloud Architecture Leadership AI Ethics

Ready to Take This Challenge?

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