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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technological landscape of the future? 2026 Innovations is seeking a visionary Senior AI Architect to lead the development of next-generation generative AI systems. In this pivotal role, you will bridge the gap between theoretical research and scalable production engineering, ensuring our AI models are not only state-of-the-art but also ethical, secure, and efficient.


As a key member of our elite R&D team, you will work on cutting-edge projects that will impact millions of users worldwide. We offer a competitive compensation package, equity opportunities, and an environment that fosters rapid innovation and professional growth.


Why Join Us?

  • Work with the latest in Large Language Models (LLMs) and Computer Vision.
  • Competitive salary and equity package.
  • Flexible remote-first culture with a vibrant office in San Francisco.
  • Unlimited PTO and professional development budget.

Responsibilities

  • Design and architect end-to-end machine learning pipelines for large-scale AI applications.
  • Lead the research and implementation of novel algorithms to improve model accuracy and performance.
  • Collaborate with cross-functional teams (Product, Engineering, Legal) to ensure AI safety and compliance.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Optimize existing models for latency, throughput, and cost efficiency.
  • Stay abreast of the latest industry trends and integrate emerging technologies into our roadmap.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering, preferably in a high-growth startup or tech giant.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Deep Learning architectures, NLP, or Computer Vision.
  • Experience with MLOps tools (Docker, Kubernetes, AWS SageMaker, MLflow).
  • Excellent problem-solving skills and the ability to work in a fast-paced, ambiguous environment.

Required Skills

Python PyTorch TensorFlow AWS Docker Kubernetes MLOps NLP Machine Learning Deep Learning

Ready to Take This Challenge?

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