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Information Technology 🏒 Full Time ⭐️ Verified

AI Architect

Future Systems Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Shape the Technology Landscape of 2026 and Beyond.

Future Systems Inc. is pioneering the next generation of autonomous intelligence. We are seeking a visionary AI Architect to lead our research and development division. If you are passionate about Large Language Models (LLMs), generative AI, and building systems that think, we want to hear from you.

As a key member of our elite technical team, you will define the architectural standards for our upcoming 2026 product suite, ensuring scalability, ethical AI practices, and unprecedented performance.

Responsibilities

  • Design and deploy scalable, state-of-the-art generative AI architectures and pipelines.
  • Lead the research and implementation of fine-tuning strategies for large language models.
  • Optimize model inference latency and resource efficiency in production environments.
  • Collaborate with cross-functional teams of engineers, product managers, and ethicists to align AI capabilities with business goals.
  • Establish best practices for MLOps, data governance, and model monitoring.
  • Publish research findings and contribute to the open-source community in AI.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • 5+ years of experience in software engineering, with at least 3 years specifically focused on AI/ML infrastructure.
  • Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Proven experience building and deploying LLMs or large-scale NLP systems.
  • Strong understanding of neural network architectures, attention mechanisms, and distributed systems.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).

Required Skills

Python PyTorch TensorFlow Machine Learning NLP LLMs MLOps AWS GCP Docker Kubernetes AI Research

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