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Lead AI Architect 2026 - San Francisco

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are on a mission to engineer the intelligence of tomorrow. As we accelerate towards our 2026 strategic roadmap, we are seeking a visionary Lead AI Architect to spearhead the development of our proprietary Neural Core.

In this role, you will not just implement existing models; you will define the architecture that powers the next generation of autonomous systems. You will work at the intersection of deep learning, ethical AI, and scalable cloud infrastructure.

Why join us?

  • Work on projects that define the future of human-computer interaction.
  • Competitive compensation package and equity.
  • Flexible remote-first policy with a hub in SF.

Responsibilities

  • Design and oversee the deployment of next-generation Large Language Models (LLMs) and Generative AI frameworks.
  • Architect scalable, fault-tolerant AI infrastructure capable of processing petabytes of data.
  • Mentor a high-performing team of data scientists and ML engineers.
  • Establish best practices for AI safety, ethics, and bias mitigation.
  • Collaborate with cross-functional product teams to translate technical roadmaps into market-ready features.
  • Prioritize research initiatives that align with our 2026 vision.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Proven expertise in designing and training deep neural networks, NLP, and computer vision systems.
  • Strong proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP/Azure).
  • Deep understanding of MLOps, model deployment, and CI/CD pipelines for AI.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Deep Learning NLP Neural Networks Cloud Architecture MLOps TensorFlow PyTorch

Ready to Take This Challenge?

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