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Senior AI Architect - Horizon 2026

Horizon 2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are building the infrastructure for tomorrow. At Horizon 2026 Labs, we are pioneers in next-generation artificial intelligence and neural processing. We are looking for a visionary Senior AI Architect to lead the design and deployment of our proprietary 2026 predictive models. If you are obsessed with scalability, ethics in AI, and pushing the boundaries of what machines can learn, this is your opportunity to shape the future.

Why Join Horizon 2026?
We offer a competitive benefits package including remote-first flexibility, equity packages, and the chance to work on high-impact projects that redefine industry standards.

Responsibilities

  • Architect and design scalable machine learning pipelines and neural network architectures tailored for high-volume data processing.
  • Lead the research and implementation of cutting-edge AI algorithms, focusing on Natural Language Processing and Computer Vision.
  • Collaborate with cross-functional teams to integrate AI solutions into our core product ecosystem.
  • Ensure data integrity, model accuracy, and ethical AI compliance across all deployments.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Conduct rigorous testing and validation of models to ensure robustness in real-world scenarios.
  • Stay abreast of the latest advancements in the AI field to drive strategic technology decisions.

Qualifications

  • Master’s degree in Computer Science, Machine Learning, or a related field; PhD preferred.
  • Minimum of 7+ years of experience in AI/ML engineering and software development.
  • Deep proficiency in Python, TensorFlow, PyTorch, and C++.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong background in big data technologies (Spark, Hadoop) and distributed computing.
  • Proven track record of deploying production-grade machine learning models.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Docker Kubernetes Machine Learning Deep Learning NLP Computer Vision Spark Hadoop Distributed Systems

Ready to Take This Challenge?

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