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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (Project 2026) - San Francisco

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

Job Description

We are seeking a visionary Senior AI Architect to lead our ambitious Project 2026 initiative. In this role, you will design and implement the next generation of autonomous artificial intelligence systems that redefine human-computer interaction. If you are passionate about the future of tech and want to build scalable, ethical, and groundbreaking AI solutions, we want to hear from you.

Join a diverse team of engineers, researchers, and strategists dedicated to pushing the boundaries of what is possible in 2026 and beyond. This is a unique opportunity to shape the AI landscape of the future.

Responsibilities

  • Architect and deploy state-of-the-art Large Language Models (LLMs) for enterprise applications.
  • Optimize model inference latency and reduce operational costs through advanced quantization and pruning techniques.
  • Collaborate with cross-functional product teams to translate complex AI concepts into user-friendly features.
  • Establish and enforce best practices for data privacy, security, and ethical AI usage.
  • Mentor junior engineers and contribute to the technical roadmap for Project 2026.
  • Conduct research into emerging AI paradigms, including Multimodal AI and Autonomous Agents.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Proven expertise in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of distributed systems and cloud infrastructure (AWS/GCP/Azure).
  • Experience with MLOps tools such as Kubernetes, Docker, and MLflow.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS MLOps Kubernetes

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