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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our next-generation technology initiatives. In this pivotal role, you will define the technical roadmap for our AI products, ensuring we stay ahead of the curve in the rapidly evolving tech landscape of 2026 and beyond. You will collaborate with cross-functional teams to design scalable, robust, and ethical AI solutions that drive business growth.

Responsibilities

  • Lead the architectural design and implementation of advanced machine learning systems and AI infrastructure.
  • Define and drive the technical vision for AI product development, focusing on scalability, security, and performance.
  • Mentor and guide a team of data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Stay abreast of the latest AI trends and breakthrough technologies to integrate cutting-edge solutions into our product suite.
  • Collaborate with stakeholders to translate complex business requirements into technical architectures.
  • Ensure compliance with ethical AI guidelines and industry best practices.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture and leadership.
  • Expert proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of delivering large-scale AI projects from conception to production.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS GCP Docker Kubernetes Leadership

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