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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of intelligent systems? 2026 is seeking a visionary Lead AI Architect to spearhead our next-generation generative AI initiatives. In this pivotal role, you won't just implement existing tools; you will build the foundational infrastructure for tomorrow's most disruptive technologies.

We are looking for a strategic leader who thrives in ambiguity and possesses a deep passion for pushing the boundaries of machine learning. As a key member of our technical leadership team, you will define the architectural standards for deploying AI at scale and ensure our solutions are robust, scalable, and secure.

Responsibilities

  • Design and implement scalable, high-performance AI and machine learning architectures for production environments.
  • Lead research and development in Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP).
  • Collaborate with product managers and engineering teams to integrate AI solutions seamlessly into core products.
  • Establish best practices for code quality, rigorous testing, and CI/CD pipelines for machine learning models.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Evaluate emerging technologies and frameworks to keep 2026 at the forefront of AI innovation.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • Minimum of 8+ years of experience in software engineering, with at least 4 years focused on AI/ML architecture.
  • Extensive experience with deep learning frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, GCP, Azure).
  • Proven track record of leading large-scale AI projects from conception to successful deployment.
  • Strong understanding of distributed systems, data pipelines, MLOps, and containerization (Docker, Kubernetes).

Required Skills

Python PyTorch TensorFlow AWS GCP MLOps Machine Learning Distributed Systems Generative AI NLP Kubernetes Docker

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