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Senior AI Architect (2026 Vision)

Quantum Leap Tech
San Francisco
Estimated Salary
USD 175.000 – USD 230.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our 2026 Vision initiative. As the technology landscape accelerates into the future, Quantum Leap Tech is building the infrastructure that will define the next decade of human-computer interaction.

In this role, you won't just be maintaining legacy systems; you will be architecting the neural networks and generative models that will power our flagship products by the year 2026. You will work in a high-performance environment that rewards creativity, technical prowess, and the ability to foresee market trends before they emerge.

Responsibilities

  • Lead Architectural Design: Design and implement scalable, fault-tolerant AI systems capable of processing petabytes of data in real-time.
  • Generative AI Development: Spearhead the development of proprietary Large Language Models (LLMs) and multimodal AI agents.
  • Pipeline Optimization: Construct end-to-end machine learning pipelines, from data ingestion to model deployment using MLOps best practices.
  • Future-Proofing: Research emerging paradigms in AI ethics, quantum computing integration, and neuromorphic hardware to stay ahead of the curve.
  • Team Mentorship: Guide a team of brilliant engineers and data scientists, fostering a culture of continuous learning and innovation.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in software engineering with a heavy emphasis on AI/ML.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and modern data science libraries.
  • System Design: Proven track record of designing distributed systems and high-availability architectures.
  • Communication: Exceptional ability to translate complex technical concepts into business value for stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps AWS Docker Kubernetes Natural Language Processing Machine Learning System Design

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