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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Vision

Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Horizon Systems is seeking a visionary Lead AI Architect to spearhead our next-generation generative intelligence initiatives. We are not just building software; we are architecting the future of human-machine interaction. In this pivotal role, you will lead a world-class team in designing scalable, secure, and ethically aligned AI systems that will power our clients' digital transformation.


Why Join Us?

  • Work on cutting-edge Large Language Models (LLMs) and autonomous agents.
  • Competitive compensation package with equity opportunities.
  • Flexible remote-first culture with premium tech equipment.

Responsibilities

  • Architect and design end-to-end AI infrastructure capable of handling petabyte-scale data processing.
  • Lead the research and implementation of novel machine learning algorithms specific to the 2026 tech stack.
  • Define technical roadmaps and best practices for AI model training, validation, and deployment.
  • Mentor senior engineers and junior developers, fostering a culture of innovation and continuous learning.
  • Collaborate cross-functionally with product managers, data scientists, and security experts to align AI capabilities with business goals.
  • Ensure compliance with data privacy regulations and ethical AI standards.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years in a senior AI/ML architecture role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying production-grade AI systems at scale.
  • Strong leadership skills with the ability to influence technical strategy without direct authority.
  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Kubernetes).

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Cloud Architecture System Design NLP Deep Learning Leadership

Ready to Take This Challenge?

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