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Senior AI Architect (2026) - San Francisco

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

Job Description

Are you ready to shape the technology landscape of 2026? Tomorrow Labs is seeking a visionary Senior AI Architect to spearhead our next-generation AI initiatives. We are building the infrastructure that will power the future, and we need a leader who thrives on solving complex challenges.

In this role, you will be at the forefront of innovation, defining how Generative AI, predictive modeling, and next-gen automation integrate into our enterprise ecosystem. You will mentor a team of engineers and drive the technical vision from concept to deployment.

Join us and work in a dynamic environment where your ideas have immediate impact.

Responsibilities

  • Architect and deploy scalable AI infrastructure tailored for the 2026 technological roadmap.
  • Lead the research, design, and implementation of advanced Large Language Models (LLMs) and generative agents.
  • Collaborate with product and engineering teams to integrate AI solutions seamlessly into core products.
  • Mentor junior engineers and conduct technical code reviews to maintain high standards.
  • Stay ahead of industry trends to ensure our technology stack remains cutting-edge.
  • Optimize model performance and reduce latency for real-time applications.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of experience in AI/ML engineering, with a proven track record in Generative AI.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong experience deploying ML models in cloud environments (AWS, GCP, or Azure).
  • Deep understanding of Natural Language Processing (NLP), Deep Learning, and Reinforcement Learning.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS GCP NLP Generative AI LLMs System Design

Ready to Take This Challenge?

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