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AI & Machine Learning Architect (2026 Vision)

Vertex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Vertex Future Systems is seeking a visionary AI & Machine Learning Architect (2026 Vision) to lead our strategic initiatives. We are not just building for today; we are engineering the foundational technologies that will define the next decade of human-machine interaction.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable, production-grade software. You will guide a team of elite engineers and data scientists in deploying cutting-edge models that solve complex, high-stakes problems. If you are passionate about the future and possess a deep technical acumen, we want to hear from you.

Responsibilities

  • Lead the end-to-end design and implementation of advanced AI systems, ensuring scalability and robustness for the 2026 landscape.
  • Collaborate with cross-functional product teams to translate business requirements into technical AI roadmaps.
  • Architect and optimize deep learning pipelines using Python, TensorFlow, and PyTorch to handle petabyte-scale data.
  • Establish best practices for MLOps, model governance, and ethical AI deployment within the organization.
  • Mentor junior architects and data scientists, fostering a culture of innovation and technical excellence.
  • Research and evaluate emerging AI paradigms to keep Vertex at the forefront of the industry.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
  • Master’s degree or PhD in Computer Science, Statistics, or a related field.
  • Extensive proficiency in programming languages such as Python, Java, or C++.
  • Deep expertise in machine learning frameworks (TensorFlow, PyTorch, Keras) and distributed computing systems (Kubernetes, AWS, GCP).
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Proven track record of leading high-performance engineering teams and delivering complex projects on time.

Required Skills

Python TensorFlow PyTorch Machine Learning NLP Computer Vision AWS GCP Kubernetes MLOps Deep Learning Architecture

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