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Senior AI Architect | 2026 Visionary | San Francisco, CA

Apex Horizon Systems
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Are you ready to define the future of technology? Apex Horizon Systems is looking for a Senior AI Architect to spearhead our initiatives for 2026 and beyond. In this role, you will not just build models; you will architect the intelligent infrastructure that powers the next generation of digital experiences.

We are a fast-paced, innovative company pushing the boundaries of what's possible with Generative AI, Predictive Analytics, and Autonomous Systems. You will work in a collaborative environment where your insights directly shape our product roadmap and technical strategy.

Responsibilities

  • Lead the design and deployment of scalable Machine Learning and Deep Learning models for production environments.
  • Define the technical roadmap for AI capabilities, ensuring alignment with business goals and 2026 innovation targets.
  • Oversee the full machine learning lifecycle, from data ingestion and feature engineering to model training and MLOps implementation.
  • Mentor a team of talented data scientists and engineers, fostering a culture of technical excellence and innovation.
  • Collaborate with cross-functional teams to integrate complex AI models into consumer-facing applications.
  • Ensure all AI systems adhere to ethical standards, data privacy regulations, and security best practices.
  • Research and evaluate new technologies, frameworks, and methodologies to keep our stack cutting-edge.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 5-7 years of experience in software engineering and machine learning, with at least 2 years in a leadership or architect role.
  • Expert proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven experience with Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse stakeholders.
  • Demonstrated ability to optimize system performance and handle large-scale data processing.

Required Skills

Python PyTorch TensorFlow AWS MLOps Machine Learning Deep Learning NLP Kubernetes Docker

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