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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (Future Tech - 2026 Vision)

Apex Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

The Future is Here. We are Apex Future Systems, a pioneer in next-generation intelligence. As we accelerate toward the pivotal year of 2026, we are looking for a Senior AI Architect to build the infrastructure that will define the next decade of human-machine collaboration. You won't just be writing code; you will be architecting the very fabric of artificial general intelligence.

Join us in San Francisco to work on cutting-edge projects that blend deep learning, neural networks, and scalable cloud architecture. If you are ready to lead the AI revolution and shape the technological landscape of 2026, we want to hear from you.

Responsibilities

  • Lead Architecture: Design robust, scalable AI systems capable of handling petabyte-scale data processing for the 2026 market.
  • Model Development: Spearhead the development and deployment of advanced Generative AI and Large Language Models (LLMs).
  • Future Tech Integration: Research and integrate emerging technologies, including edge AI and quantum-ready algorithms, into our core product suite.
  • Team Leadership: Mentor a high-performing team of data scientists and engineers, fostering a culture of innovation and technical excellence.
  • System Optimization: Continuously refine model latency and accuracy to meet real-time application requirements.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: Minimum of 7+ years of experience in AI/ML architecture and full-stack software development.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
  • AI Mastery: Deep understanding of neural architectures, reinforcement learning, and NLP.
  • Cloud & DevOps: Proven experience with AWS, GCP, or Azure, including containerization (Docker/Kubernetes) and MLOps pipelines.

Required Skills

Python TensorFlow PyTorch MLOps Machine Learning AI Architecture Cloud Computing Neural Networks NLP AWS GCP

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