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Senior AI Architect (2026 Vision)

Apex Horizon Systems
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are on a mission to define the technological landscape of 2026. Apex Horizon Systems is seeking a visionary Senior AI Architect to lead our cutting-edge research and development division. You won't just be maintaining legacy systems; you will be architecting the neural infrastructure that powers our predictive models and autonomous agents.

Our team operates at the intersection of deep learning and scalable software engineering. If you are passionate about pushing the boundaries of what's possible in artificial intelligence and want to be at the forefront of the 2026 technological revolution, we want to meet you.

Why join us?

  • Work on greenfield projects with state-of-the-art tech stacks.
  • Competitive equity and compensation package.
  • Flexible remote-first culture with a premium office in Austin.

Responsibilities

  • Architect and deploy scalable machine learning models designed to operate seamlessly in the 2026 ecosystem.
  • Lead the design of our distributed computing infrastructure and data pipelines.
  • Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
  • Conduct research on emerging AI trends to ensure our products remain market leaders.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Optimize model inference speeds and reduce latency for real-time applications.
  • Establish best practices for data governance, security, and ethical AI usage.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in software engineering and machine learning architecture.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong experience with cloud platforms (AWS, GCP, or Azure).
  • Demonstrated expertise in Large Language Models (LLMs) and generative AI technologies.
  • Experience with containerization (Docker, Kubernetes) and microservices architecture.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning Artificial Intelligence Deep Learning PyTorch TensorFlow AWS GCP Kubernetes Docker Microservices NLP LLMs Data Engineering System Architecture

Ready to Take This Challenge?

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