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Senior AI Architect (2026 Vision)

Horizon Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Architecting the Future: Lead AI Innovation in 2026

Horizon Future Systems is at the forefront of the technological revolution, and we are looking for a visionary Senior AI Architect to guide our roadmap through 2026. In this role, you will define the next generation of artificial intelligence systems that drive efficiency, creativity, and problem-solving across our global platforms.

We are not just building software; we are building the intelligence that will define the decade. As a Senior AI Architect, you will work in a dynamic, high-performance environment, collaborating with elite engineers and product strategists to deploy scalable, ethical, and groundbreaking AI solutions.

Responsibilities

  • Design and architect scalable AI infrastructure and machine learning pipelines to support mission-critical 2026 applications.
  • Lead the research and implementation of cutting-edge algorithms, including Large Language Models (LLMs) and generative AI.
  • Establish best practices for data governance, model training, and deployment in cloud environments.
  • Mentor senior engineers and data scientists, fostering a culture of technical excellence and continuous innovation.
  • Translate complex business requirements into robust technical solutions that drive competitive advantage.
  • Monitor model performance and accuracy, iterating on solutions to ensure real-world reliability.

Qualifications

  • 10+ years of experience in software engineering, with 5+ years specifically in AI/ML architecture and development.
  • Master’s degree or Ph.D. in Computer Science, Mathematics, or a related technical field.
  • Expert proficiency in Python, C++, and modern deep learning frameworks such as TensorFlow or PyTorch.
  • Proven experience designing microservices architectures and managing large-scale data workflows.
  • Strong understanding of MLOps, cloud platforms (AWS/GCP/Azure), and containerization technologies.
  • Demonstrated ability to anticipate future tech trends and apply them to solve current business challenges.

Required Skills

Python TensorFlow PyTorch Machine Learning MLOps AWS Microservices AI Architecture Deep Learning

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