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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026

2026
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to shape the trajectory of technology in the year 2026 and beyond? 2026 is a pioneering force in next-generation AI infrastructure, dedicated to building systems that anticipate human needs before they arise. We are seeking a visionary Lead AI Architect to join our elite engineering team in San Francisco.

In this role, you will be at the forefront of the AI revolution, designing the neural architectures that power our autonomous systems. You will define the technical roadmap for our machine learning platforms, ensuring scalability, security, and performance at a global scale.

Why join us?

  • Work on cutting-edge Generative AI and LLM integration.
  • Competitive compensation and equity package.
  • Flexible remote and hybrid work options.
  • Access to state-of-the-art computing resources and research.

Responsibilities

  • Architect and deploy scalable machine learning models for real-time decision engines.
  • Lead technical strategy for our core AI infrastructure, ensuring high availability and low latency.
  • Collaborate with cross-functional product teams to translate complex business requirements into robust technical solutions.
  • Mentor junior engineers and establish best practices for data science and MLOps.
  • Research and integrate cutting-edge advancements in Large Language Models (LLMs) and generative AI.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related field.
  • Minimum of 7 years of experience in software engineering with a focus on AI/ML.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of designing systems that handle petabytes of data.
  • Strong understanding of cloud architecture (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Required Skills

Python Machine Learning PyTorch TensorFlow AWS Kubernetes MLOps LLMs Generative AI System Design

Ready to Take This Challenge?

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