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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect at 2026

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

Job Description

We are not just predicting the future; we are building it. At 2026, we are a pioneering technology firm dedicated to engineering the next generation of intelligent systems. We are looking for a visionary Senior AI Architect to lead the architectural design of our core machine learning infrastructure and drive the innovation that will define our industry.

If you are passionate about pushing the boundaries of what is possible with Artificial Intelligence, Large Language Models, and predictive analytics, we want to hear from you. Join us in shaping the world of tomorrow.

Responsibilities

  • Lead Architectural Design: Spearhead the design and implementation of scalable, high-performance AI systems and machine learning pipelines.
  • Technology Strategy: Evaluate and integrate emerging AI technologies, frameworks, and tools to maintain a competitive edge.
  • Model Development: Oversee the development and fine-tuning of proprietary Large Language Models (LLMs) and neural architectures.
  • System Optimization: Ensure the reliability, security, and efficiency of our AI infrastructure at scale.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to translate business requirements into technical solutions.
  • Team Mentorship: Mentor junior engineers and foster a culture of technical excellence and continuous learning.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering, with at least 4+ years specifically in AI/ML architecture.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with cloud platforms (AWS, GCP, or Azure) is required.
  • Domain Knowledge: Strong understanding of Natural Language Processing (NLP), deep learning principles, and distributed systems.
  • Problem Solving: Proven track record of solving complex technical challenges and delivering robust, scalable solutions.
  • Communication: Excellent verbal and written communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning AI Architecture NLP AWS GCP Deep Learning Distributed Systems

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