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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect

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

Job Description

Welcome to the future. 2026 is not just a company name; it is our mission. We are pioneering the next generation of artificial intelligence, redefining how humans interact with technology. We are seeking a visionary Lead AI Architect to spearhead our core infrastructure and drive innovation that will define the landscape of 2026 and beyond.

Responsibilities

  • Architect and Design: Lead the end-to-end design and architecture of scalable AI systems and machine learning pipelines.
  • Strategic Vision: Define the technical roadmap for AI initiatives, aligning them with long-term business goals.
  • Team Leadership: Mentor and lead a high-performing team of data scientists and engineers, fostering a culture of innovation.
  • Research & Development: Stay at the forefront of AI trends, researching and implementing cutting-edge technologies such as LLMs and Neural Networks.
  • Collaboration: Partner with product managers and stakeholders to translate complex technical concepts into actionable business strategies.
  • Deployment: Oversee the deployment of models into production environments, ensuring high availability and security.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 8+ years of experience in software engineering and 3+ years in leading AI architecture roles.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed systems.
  • Leadership: Proven track record of managing diverse engineering teams and driving cross-functional projects.
  • Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.
  • Innovation: Deep passion for the future of technology and a desire to solve unsolved problems.

Required Skills

Artificial Intelligence Machine Learning Python System Architecture Cloud Computing Leadership Deep Learning

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