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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Quantum Leap Innovations
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technical roadmap for our revolutionary 2026 product suite. At Quantum Leap Innovations, we are building the infrastructure that will power the next decade of artificial intelligence. You will be at the forefront of designing scalable, secure, and ethically sound AI systems that anticipate user needs before they arise. If you are passionate about pushing the boundaries of what is possible in machine learning and cloud infrastructure, this is your opportunity to lead.

Responsibilities

  • Architect and lead the development of the 2026 AI ecosystem, ensuring high performance and scalability.
  • Define the long-term technical vision and roadmap in collaboration with the CTO and product teams.
  • Design and implement advanced machine learning pipelines and data processing architectures.
  • Mentor a team of talented engineers and data scientists, fostering a culture of innovation and excellence.
  • Ensure compliance with data privacy regulations and ethical AI standards.
  • Collaborate with cross-functional teams to integrate AI solutions into existing enterprise systems.
  • Conduct technical feasibility studies and proof-of-concept validation for emerging technologies.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI and machine learning architecture.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong experience designing cloud-native solutions on AWS, Azure, or GCP.
  • Proven track record of leading large-scale distributed systems projects.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.
  • Experience with MLOps, data governance, and ethical AI frameworks.

Required Skills

Python TensorFlow PyTorch AWS Azure GCP Kubernetes System Design MLOps Machine Learning Artificial Intelligence Cloud Architecture

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