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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | San Francisco, CA | 2026 Technologies

2026 Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are 2026 Technologies, a pioneering firm dedicated to architecting the intelligent systems of tomorrow. We are seeking a visionary Senior AI Architect to lead our next-generation machine learning initiatives. In this role, you will define the technical roadmap for our flagship products, ensuring scalability, performance, and ethical AI deployment.

If you are passionate about pushing the boundaries of artificial intelligence and want to build the infrastructure for the future, we want to hear from you.

Responsibilities

  • Design and architect scalable machine learning systems and deep learning models tailored for high-volume production environments.
  • Lead the development of robust inference pipelines and optimize GPU utilization for cost-effective performance.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Establish best practices for code quality, model monitoring, and continuous integration/deployment (CI/CD).
  • Research and evaluate emerging AI frameworks and hardware accelerators to maintain a competitive edge.
  • Mentor junior engineers and provide technical guidance on complex architectural challenges.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 7 years of professional experience in software engineering, with at least 3 years specializing in AI/ML architecture.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems, cloud computing (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with MLOps tools, model versioning, and A/B testing frameworks.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Docker Kubernetes AWS MLOps GPU Optimization

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