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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect

2026 Innovations
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are at the forefront of the next technological revolution. At 2026 Innovations, our mission is to engineer the systems that will define the future of human-machine interaction. We are looking for a visionary Senior AI Architect to join our elite engineering team and help us build scalable, autonomous systems that push the boundaries of what is possible.

If you are passionate about Deep Learning, Large Language Models (LLMs), and building infrastructure that scales, we want to hear from you.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of complex AI infrastructure, ensuring high availability and scalability for production environments.
  • R&D Strategy: Lead research initiatives in Generative AI and Predictive Modeling, identifying emerging technologies to integrate into our core product suite.
  • Model Optimization: Fine-tune and optimize large-scale neural networks to improve inference speed and reduce latency in real-time applications.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex business requirements into robust technical solutions.
  • Code Review & Mentorship: Mentor junior engineers and senior developers alike, establishing best practices for code quality and architectural patterns.
  • System Security: Implement rigorous security protocols to ensure the ethical use and protection of sensitive data within AI models.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Experience: 5+ years of experience in software engineering, with at least 3 years specifically focused on AI/ML architecture.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
  • Domain Knowledge: Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Problem Solving: Exceptional ability to troubleshoot complex, distributed system issues under pressure.
  • Communication: Excellent verbal and written communication skills, capable of explaining technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning AWS GCP PyTorch TensorFlow System Architecture NLP Computer Vision SQL

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