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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the development of our revolutionary Project 2026 initiative. As a pioneer in the field, you will be responsible for architecting the core infrastructure that will define the future of intelligent systems. This is a high-impact role for a technical leader who is passionate about pushing the boundaries of artificial general intelligence and scalable machine learning.

Why You'll Love It:

At Nexus Horizon Labs, we are building the technology of tomorrow, today. You will work in a state-of-the-art facility in the heart of San Francisco, collaborating with world-class researchers and engineers. We offer competitive equity packages, continuous learning budgets, and a culture that prioritizes innovation and autonomy.

Responsibilities

  • Design and implement scalable, fault-tolerant AI architectures for Project 2026.
  • Lead the technical strategy for integrating large language models and generative AI into core products.
  • Oversee the end-to-end machine learning lifecycle, from data engineering to model deployment.
  • Define technical standards and best practices for the engineering team.
  • Conduct rigorous research to evaluate emerging technologies and frameworks.
  • Collaborate with product management to translate complex business requirements into technical solutions.
  • Mentor junior engineers and conduct code reviews to ensure technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, AI, or a related quantitative field.
  • 8+ years of experience in software engineering, with at least 5 years specializing in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Proven track record of leading high-performance engineering teams.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong understanding of NLP, neural networks, and deep learning principles.
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning TensorFlow PyTorch Cloud Architecture Kubernetes Distributed Systems Leadership NLP

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