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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect | 2026

2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to define the future? At 2026, we are not just predicting the next decade of technology—we are architecting it. We are seeking a visionary Senior AI Architect to lead our research division, building the neural foundations for the next generation of artificial intelligence systems.

We operate at the intersection of advanced machine learning, scalable distributed systems, and human-centric design. If you are obsessed with pushing the boundaries of what is possible in 2026 and beyond, we want to meet you.

Why Join Us?

  • Impact: Work on core infrastructure that powers next-gen autonomous agents.
  • Equity: Competitive equity package reflecting our long-term vision.
  • Flexibility: Fully remote-first culture with a San Francisco HQ for collaboration.

Responsibilities

  • Lead R&D: Spearhead the research and development of large-scale language models and multimodal AI systems.
  • System Architecture: Design resilient, high-performance AI infrastructure capable of processing petabytes of data in real-time.
  • Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Technical Strategy: Define the technical roadmap for AI integration across product lines.
  • Optimization: Drive efficiency improvements in model training pipelines and inference latency.
  • Collaboration: Partner closely with product and engineering teams to translate research into scalable production solutions.

Qualifications

  • Experience: 7+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
  • Education: PhD or Master’s degree in Computer Science, Machine Learning, or a related field (equivalent experience considered).
  • Core Tech: Proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Cloud Expertise: Strong experience deploying models on AWS, GCP, or Azure using Kubernetes and Docker.
  • Problem Solving: Demonstrated ability to tackle complex, unstructured problems with innovative solutions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Kubernetes AWS System Design AI Architecture NLP

Ready to Take This Challenge?

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

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