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Senior AI Evolution Architect | Horizon 2026

Horizon 2026 Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are on the cutting edge of technological evolution, building the infrastructure for the year 2026 and beyond. Horizon 2026 Solutions is seeking a visionary Senior AI Evolution Architect to lead the design and implementation of our next-generation neural networks and autonomous systems. In this pivotal role, you will bridge the gap between theoretical AI advancements and practical, scalable engineering solutions.

As a key member of our elite R&D team, you will define the architectural standards for our AI-driven ecosystem, ensuring our platforms remain at the forefront of innovation. If you possess a deep understanding of machine learning lifecycles and a passion for the future of technology, we want to meet you.

Responsibilities

  • Architect and oversee the development of scalable AI systems and machine learning pipelines.
  • Lead the technical strategy for integrating next-gen AI models into production environments.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
  • Conduct rigorous code reviews and ensure adherence to best practices in software engineering and data governance.
  • Research and evaluate emerging technologies to maintain a competitive edge in the AI landscape.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specializing in AI and Machine Learning.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong background in distributed systems architecture and cloud platforms (AWS, GCP, or Azure).
  • Proven track record of deploying high-availability AI applications.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch System Design Cloud Architecture AWS GCP Leadership Data Engineering

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