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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Join the Architects of Tomorrow

We are looking for a visionary Senior AI Architect to lead the development of next-generation intelligence systems. As we prepare for the technological paradigm shift of 2026, you will be at the forefront of designing scalable, ethical, and revolutionary AI infrastructure. This is not just a job; it is an opportunity to define the future of human-machine interaction.

Why Join Us?

  • Work with state-of-the-art Generative AI and Large Language Models.
  • Competitive salary and equity package.
  • Flexible remote-first culture with a hub in the heart of San Francisco.
  • Access to cutting-edge hardware and research resources.

Your Mission

Translate complex business problems into robust AI solutions that scale to millions of users. You will collaborate with world-class researchers and engineers to build the systems that will power the 2026 digital ecosystem.

Responsibilities

  • Design and deploy scalable Machine Learning pipelines and cloud-native AI architectures.
  • Lead the research and implementation of advanced Generative AI models, specifically focusing on LLM fine-tuning and optimization.
  • Ensure system reliability, security, and ethical AI compliance across all deployed models.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Collaborate with product managers to define technical roadmaps for upcoming 2026 features.
  • Optimize model inference performance to reduce latency and cost in high-traffic environments.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, or a related field, or equivalent practical experience.
  • 7+ years of experience in software engineering, with a focus on Machine Learning and Artificial Intelligence.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Proven experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP TensorFlow PyTorch MLOps AWS GCP Docker Kubernetes Linux Agile

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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