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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Lead AI Architect - 2026 Roadmap

Quantum Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to define the technological landscape for 2026. At Quantum Horizon, we are building the systems that will power the next generation of human-machine interaction. This is a strategic, high-impact role where you will not just implement existing technologies, but architect the future of AI ecosystems.

In this role, you will spearhead the development of our proprietary 2026 roadmap, focusing on Agentic AI, Large Language Models (LLMs), and autonomous neural networks. You will lead a world-class team of engineers and data scientists, ensuring our infrastructure is scalable, secure, and ready for the demands of the future.

Why join us? We offer a competitive salary, equity package, and the unique opportunity to shape the industry standard for the year 2026.

Responsibilities

  • Define and execute the technical 2026 AI Roadmap, aligning long-term vision with quarterly deliverables.
  • Design and implement scalable Neural Network Architectures for enterprise-level applications.
  • Lead the integration of Generative AI and Agentic Workflows into core product lines.
  • Collaborate with cross-functional teams to translate complex AI concepts into robust engineering solutions.
  • Mentor senior engineers and foster a culture of innovation and continuous learning.
  • Ensure data security, ethical AI usage, and compliance with industry standards.

Qualifications

  • 10+ years of experience in software engineering and artificial intelligence.
  • Proven experience leading technical strategy and architectural decisions.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Strong understanding of Natural Language Processing (NLP) and Large Language Models.
  • Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Passion for the future of technology and a forward-thinking mindset.

Required Skills

Python Machine Learning Deep Learning NLP LLMs TensorFlow AWS Docker Strategic Planning Leadership Neural Networks

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