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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
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future of technology? 2026 is a pioneering company dedicated to building the next generation of intelligent systems. We are seeking a visionary Senior AI Architect to lead our machine learning infrastructure and drive innovation across our product suite. In this high-impact role, you will design scalable AI solutions, mentor a talented engineering team, and ensure our technology remains at the cutting edge of the industry. If you thrive in a fast-paced, forward-thinking environment and want to shape the digital landscape of tomorrow, we want to hear from you.

Responsibilities

  • Design and implement scalable machine learning models and infrastructure pipelines.
  • Lead architectural decisions to ensure system reliability, security, and performance.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Mentor junior engineers and conduct technical code reviews to maintain high coding standards.
  • Optimize existing algorithms for speed, accuracy, and resource efficiency.
  • Stay abreast of the latest research in AI, Deep Learning, and Generative Models.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior leadership role.
  • Expert proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying production-grade ML models at scale.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Machine Learning Deep Learning Data Structures Cloud Architecture

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