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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | 2026

2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

About 2026 Technologies: We are redefining the boundaries of artificial intelligence. As we look toward the future, we are building the neural infrastructure that will power the next generation of autonomous systems. Join our elite team in the heart of San Francisco to shape the roadmap for 2026 and beyond.

The Role: We are seeking a visionary Senior AI Architect to lead the design and deployment of scalable machine learning systems. You will work at the intersection of research and engineering, ensuring our AI solutions are not only cutting-edge but also robust, efficient, and production-ready.

Responsibilities

  • Architect and implement end-to-end machine learning pipelines and distributed computing systems.
  • Lead research initiatives in Large Language Models (LLMs) and generative AI to drive product innovation.
  • Optimize model inference speeds and resource utilization to significantly reduce cloud infrastructure costs.
  • Collaborate closely with product and data science teams to translate strategic goals into technical specifications.
  • Establish MLOps best practices, including automated testing, monitoring, and version control.
  • Mentor junior engineers and conduct rigorous code reviews to maintain high engineering standards.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 6+ years of experience in AI/ML engineering and full-stack software development.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern cloud infrastructure.
  • Strong experience with distributed systems (Kubernetes, Docker) and cloud platforms (AWS/GCP/Azure).
  • Proven track record of deploying high-impact AI products in live environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Kubernetes AWS NLP Distributed Systems System Design

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