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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect | 2026

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Architect the Future of Intelligence


2026 is pioneering the next era of technological advancement. We are looking for a visionary Lead AI Architect to build the foundational systems that will power the autonomous and intelligent world of tomorrow. You will be at the forefront of research and production, defining how machines learn, reason, and interact with the physical world.


If you are a technical leader who refuses to compromise on performance, scalability, or innovation, 2026 is the place where your expertise will define history.


Key Areas of Impact:

  • Designing scalable, fault-tolerant neural network architectures.
  • Optimizing AI models for edge deployment and real-time inference.
  • Leading a world-class team of data scientists and ML engineers.

Responsibilities

  • Define and execute the technical roadmap for our core AI infrastructure, ensuring alignment with business goals.
  • Architect high-performance machine learning pipelines that handle petabytes of data with low latency.
  • Lead the design and implementation of state-of-the-art deep learning models, including LLMs and generative AI.
  • Mentor and coach engineering talent, fostering a culture of technical excellence and continuous learning.
  • Collaborate with product management to translate complex AI capabilities into user-friendly features.
  • Ensure system security, compliance, and ethical AI practices are integrated into every layer of the stack.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Minimum of 8+ years of experience in software engineering, with at least 4 years in a lead or architect role.
  • Extensive expertise in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed computing.
  • Proficiency in high-performance programming languages (Python, C++, Rust).
  • Proven experience designing scalable cloud-native systems on AWS, GCP, or Azure.
  • Strong background in NLP, Computer Vision, or Reinforcement Learning.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Architecture AWS GCP Docker Kubernetes System Design

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