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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | Future Tech | San Francisco, CA

2026 Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the future of artificial intelligence? At 2026 Solutions, we are building the infrastructure for tomorrow's reality. We are seeking a visionary Senior AI Architect to lead our research and engineering teams in developing next-generation generative models and scalable neural networks.


Join a culture of innovation where cutting-edge technology meets human-centric design. We offer a competitive compensation package, comprehensive benefits, and the opportunity to work on projects that will define the technological landscape of the 2026 era and beyond.

Responsibilities

  • Architect and deploy scalable machine learning systems capable of handling petabyte-scale data.
  • Lead a cross-functional team of data scientists and engineers in the design and implementation of novel AI algorithms.
  • Collaborate with product managers to translate complex technical requirements into robust, high-performance software solutions.
  • Optimize existing models for inference speed, accuracy, and energy efficiency.
  • Stay at the forefront of industry trends, evaluating new technologies (e.g., Quantum AI, Neuromorphic Computing) and integrating them into our roadmap.
  • Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 7 years of professional experience in AI/ML engineering, with at least 3 years in a lead or architectural role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Deep understanding of deep learning architectures (Transformers, GANs, RNNs) and large language models.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong problem-solving skills and the ability to navigate ambiguity in fast-paced environments.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Computing AWS Kubernetes NLP Generative AI System Design

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