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Lead AI Architect - 2026 Vision

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the trajectory of artificial intelligence for the next decade? At Apex Horizon Technologies, we are building the foundational infrastructure for the year 2026 and beyond.

We are seeking a visionary Lead AI Architect to lead our core research division. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems, ensuring our solutions are not only cutting-edge but ethically sound and future-proof.

Join a team that values innovation, autonomy, and high-impact engineering. You will have the freedom to experiment with the latest Generative AI models while maintaining rigorous standards for data security and performance.

Responsibilities

  • Define and execute the 2026 AI technical roadmap and strategy.
  • Architect scalable, fault-tolerant machine learning pipelines and infrastructure.
  • Lead a high-performance team of data scientists and ML engineers.
  • Collaborate with product leaders to translate business goals into technical solutions.
  • Ensure compliance with global data privacy regulations (GDPR, CCPA).
  • Drive innovation in Natural Language Processing (NLP) and Computer Vision.
  • Conduct deep-dive technical reviews and architecture assessments.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps tools.
  • Proven track record of deploying large-scale AI models to production environments.
  • Strong leadership skills with experience mentoring engineering teams.
  • Excellent communication skills to translate complex technical concepts for diverse stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Azure Kubernetes MLOps NLP Computer Vision Machine Learning Leadership

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