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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect

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

Job Description

Are you ready to define the technological landscape of tomorrow? 2026 is seeking a visionary Senior AI Architect to lead our next generation of autonomous systems. We are not just building software; we are architecting the future of human-machine interaction in a rapidly evolving digital world.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable, production-grade engineering. You will work closely with cross-functional teams to build systems that are not only intelligent but also ethical, secure, and efficient. Join us in shaping the trajectory of technology for the next decade.

Responsibilities

  • Design and deploy scalable AI infrastructure capable of handling high-velocity data streams in real-time.
  • Lead architectural decisions for the development of next-gen machine learning models and neural networks.
  • Collaborate with product managers and data scientists to translate complex business requirements into robust technical solutions.
  • Establish coding standards, review architectural blueprints, and mentor junior engineers to ensure best practices.
  • Ensure system reliability, security, and performance optimization across cloud environments.
  • Stay ahead of industry trends in AI, quantum computing, and edge processing to drive innovation.

Qualifications

  • 10+ years of professional experience in software engineering and architecture, with at least 5 years focused on AI/ML systems.
  • Deep expertise in Python, C++, or Java, with hands-on experience in ML frameworks such as TensorFlow, PyTorch, or Keras.
  • Strong background in distributed systems, microservices architecture, and cloud platforms (AWS, GCP, or Azure).
  • Proven track record of leading technical teams and managing complex project lifecycles from conception to deployment.
  • Experience with MLOps, data pipelines, and large-scale data processing (Spark, Hadoop).
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow System Architecture Cloud Computing AWS Leadership

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