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Future-Ready AI Architect & Engineer

Horizon 2026 Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to define the landscape of 2026? Horizon 2026 Technologies is seeking a visionary AI Architect to lead the charge in developing next-generation Generative AI and Large Language Model (LLM) solutions. In this pivotal role, you will bridge the gap between theoretical AI research and scalable, real-world applications, ensuring our platform remains at the cutting edge of technology. Join a team of elite engineers and data scientists dedicated to building the future of intelligent systems.

Responsibilities

  • Architect and deploy scalable LLMs and Generative AI pipelines using Python and modern frameworks.
  • Lead the research and implementation of novel AI algorithms to solve complex business problems.
  • Optimize model performance for low-latency, high-throughput environments.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate closely with product managers and stakeholders to translate business requirements into technical AI solutions.
  • Stay abreast of the latest advancements in AI research (e.g., Transformer architectures, Reinforcement Learning) and integrate them into our stack.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence.
  • 5+ years of professional experience in software engineering and machine learning.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of Natural Language Processing (NLP) and deep learning architectures.
  • Proven experience in deploying AI models to production cloud environments (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile startup environment.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning AWS Generative AI LLM System Design

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