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Senior AI Architect - Shaping the 2026 Future

Apex Horizon Systems
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are building the future of intelligence for 2026. Apex Horizon Systems is seeking a visionary Senior AI Architect to lead the next generation of artificial intelligence solutions. You will define the technical roadmap for our 2026 strategic goals, ensuring our systems are scalable, secure, and revolutionary.

In this role, you will bridge the gap between cutting-edge research and production-grade engineering. We are looking for a leader who is passionate about ethical AI, generative models, and building systems that can handle the complexity of tomorrow.

Responsibilities

  • Design and architect scalable machine learning infrastructure aligned with 2026 operational goals.
  • Lead the research and development of advanced AI models, including Large Language Models (LLMs) and predictive algorithms.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams to integrate AI solutions into core products.
  • Define and implement best practices for data governance, model deployment, and monitoring.
  • Stay ahead of industry trends to ensure our technology stack remains competitive.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 5+ years of experience in AI/ML engineering, with 2+ years in a leadership or architecture role.
  • Proficiency in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of Natural Language Processing (NLP) and Deep Learning principles.
  • Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.
  • Experience with MLOps tools and CI/CD pipelines is a plus.

Required Skills

Python Machine Learning TensorFlow PyTorch NLP AWS GCP AI Architecture Deep Learning MLOps

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