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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | 2026

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are 2026, a pioneering force in the future of artificial intelligence. We are not just building the tools of tomorrow; we are defining the landscape of the year 2026 and beyond. Our mission is to engineer sentient interfaces that bridge the gap between human intuition and machine precision. We are seeking a visionary Senior AI Architect to lead our core infrastructure team.

In this role, you will spearhead the development of next-generation neural networks and scalable machine learning pipelines. You will work in a high-velocity environment where innovation is the only metric that matters. If you are passionate about pushing the boundaries of what's possible and want to leave a legacy in the tech industry, we want to hear from you.

Why Join Us?

  • Work with cutting-edge LLMs and generative AI models.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first culture with premium San Francisco amenities.
  • Access to the latest hardware and research resources.

Responsibilities

  • Design and architect scalable, high-performance AI infrastructure capable of handling petabyte-scale data.
  • Lead the research and implementation of novel deep learning algorithms and neural architectures.
  • Collaborate with cross-functional product teams to translate complex business requirements into technical AI solutions.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Optimize model inference latency and ensure robust security and privacy compliance in AI systems.
  • Stay ahead of industry trends, conducting technical due diligence on emerging AI technologies.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • 8+ years of professional experience in Machine Learning, AI, or Deep Learning.
  • Extensive experience with Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying production-grade ML models at scale.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AI Architecture Distributed Systems SQL Docker Kubernetes

Ready to Take This Challenge?

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