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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Quantum Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Quantum Horizons is pioneering the technological landscape for the year 2026. We are seeking a visionary Senior AI Architect to lead our research into next-generation Generative AI and Autonomous Agents. In this role, you will define the architectural blueprints for systems that push the boundaries of reasoning, creativity, and human-machine collaboration. If you are passionate about building the intelligent infrastructure of the future, we want to hear from you.


Our team focuses on creating scalable, ethical, and highly performant AI models that integrate seamlessly into complex global ecosystems.

Responsibilities

  • Architectural Leadership: Design and implement scalable deep learning architectures for Large Language Models (LLMs) and multimodal AI systems.
  • Performance Optimization: Engineer solutions to reduce inference latency and maximize throughput for real-time AI applications.
  • Research & Development: Prototype cutting-edge algorithms focusing on emergent capabilities like reasoning and planning.
  • System Integration: Lead the integration of AI models into production environments using Kubernetes, Docker, and cloud-native infrastructure.
  • Team Mentorship: Guide a team of junior engineers and data scientists in best practices for machine learning operations (MLOps).

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Experience: 5+ years of professional experience building and deploying large-scale machine learning systems.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with GPU acceleration (CUDA).
  • System Design: Deep understanding of distributed systems, cloud computing (AWS/GCP/Azure), and containerization technologies.
  • Vision: Strong track record of researching and implementing future-forward technologies relevant to the 2026 tech landscape.

Required Skills

Python PyTorch TensorFlow LLMs Generative AI NLP Distributed Systems Kubernetes Cloud Architecture MLOps CUDA

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