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Lead AI Architect: Shaping the Future of 2026

Apex Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to architect the digital frontier?

Apex Horizon Systems is seeking a visionary Lead AI Architect to spearhead our initiatives for 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems, leading a team of elite engineers to build autonomous agents and next-generation machine learning infrastructure.

We are not just looking for a coder; we are looking for a Future Tech Strategist who thrives on ambiguity and innovation. You will define the technical roadmap for our flagship products, ensuring our solutions are not only state-of-the-art but also ethically grounded and compliant with global standards.

Responsibilities

  • Architect & Design: Design and implement resilient, high-performance AI infrastructure capable of handling petabyte-scale data processing in real-time.
  • Team Leadership: Mentor and lead a cross-functional team of ML engineers, data scientists, and software developers to foster a culture of excellence and continuous learning.
  • Agentic Workflows: Develop and integrate autonomous agent frameworks that streamline complex business operations and decision-making processes.
  • Model Optimization: Oversee the end-to-end lifecycle of machine learning models, from research and prototyping to deployment and MLOps.
  • Strategic Vision: Collaborate with C-suite executives to define the long-term technical strategy, identifying emerging technologies that will define the market in 2026.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
  • Experience: 8+ years of experience in software engineering and at least 4 years in AI/ML architecture and system design.
  • Technical Mastery: Deep proficiency in Python, PyTorch, TensorFlow, and experience with large language models (LLMs) and transformer architectures.
  • Cloud Expertise: Strong background in cloud architecture (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Communication: Exceptional ability to translate complex technical concepts into actionable business strategies for non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Kubernetes Docker Machine Learning Deep Learning System Design Natural Language Processing

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