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Information Technology 🏒 Full Time ⭐️ Verified

Senior 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 define the trajectory of tomorrow? 2026 is a pioneering technology firm dedicated to architecting the future of human-machine interaction. We are seeking a visionary Senior AI Architect to lead our research and development in generative AI and quantum computing integration.

In this role, you won't just maintain legacy systems; you will build the infrastructure that powers the next generation of intelligent applications. Join a team of elite engineers and researchers pushing the boundaries of what is possible.

Why join 2026?

  • Work on groundbreaking projects that shape the future of technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first policy with a hub in San Francisco.

Responsibilities

  • Design, implement, and deploy scalable machine learning models and neural network architectures for enterprise-level applications.
  • Lead the architecture of our AI infrastructure, ensuring high availability, security, and performance at scale.
  • Collaborate with cross-functional teams including data scientists, product managers, and engineers to translate business requirements into technical solutions.
  • Research and integrate cutting-edge advancements in AI, specifically focusing on Large Language Models (LLMs) and autonomous agents.
  • Mentor junior developers and conduct code reviews to maintain high engineering standards.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field (or equivalent experience).
  • Minimum of 5+ years of professional experience in designing and deploying AI/ML systems.
  • Deep proficiency in Python, C++, and at least one major deep learning framework (PyTorch, TensorFlow, or JAX).
  • Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of software engineering principles, including CI/CD pipelines and agile methodologies.

Required Skills

Python PyTorch TensorFlow Machine Learning Cloud Computing AWS GCP Kubernetes Deep Learning NLP AI Architecture

Ready to Take This Challenge?

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