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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Shaping the Future of Technology (2026)

Quantum Horizon Solutions
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the digital landscape of 2026? Quantum Horizon Solutions is seeking a visionary Senior AI Architect to spearhead our next-generation intelligence initiatives. We are not just building software; we are engineering the future.

In this pivotal role, you will define the technical roadmap for our upcoming AI ecosystems, focusing on autonomous agents, next-gen Generative AI, and ethical machine learning frameworks. You will work at the intersection of research and production, ensuring our solutions are scalable, secure, and ready to lead the market.

Join a team of world-class engineers and data scientists committed to pushing the boundaries of what's possible in the 2026 era.

Responsibilities

  • Architect and deploy scalable machine learning models designed for the 2026 data landscape, including LLMs and multimodal systems.
  • Lead the technical strategy for integrating AI into core product offerings, ensuring high performance and low latency.
  • Collaborate with cross-functional teams to translate complex business requirements into robust AI engineering solutions.
  • Establish best practices for AI governance, data privacy, and model interpretability in a rapidly evolving regulatory environment.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Stay ahead of emerging trends in AI research, identifying opportunities for competitive advantage.

Qualifications

  • 5+ years of experience in software engineering, machine learning, or data science with a focus on AI.
  • Deep expertise in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Strong background in Natural Language Processing (NLP) and Computer Vision.
  • Proven track record of deploying large-scale AI models to production environments (AWS, GCP, or Azure).
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS GCP NLP Machine Learning Deep Learning AI Architecture Cloud Computing

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