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Information Technology 🏢 Full Time ⭐️ Verified

AI & Automation Architect

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

Job Description

Are you ready to shape the future of intelligent systems? Apex Horizon Systems is seeking a visionary AI & Automation Architect to lead our cutting-edge initiatives.

We are building the infrastructure for tomorrow. As a pivotal member of our technical elite, you will design and deploy scalable machine learning solutions that redefine industry standards. We are not just building software; we are architecting the digital reality of 2026.

Why Join Us?
We offer competitive compensation, equity packages, and the opportunity to work on projects that impact billions of users globally. Our culture thrives on innovation, autonomy, and continuous learning.

Responsibilities

  • Architect & Design: Design and implement end-to-end AI/ML pipelines and automation frameworks that scale efficiently.
  • Model Development: Collaborate with data scientists to integrate Large Language Models (LLMs) and NLP capabilities into core products.
  • Performance Optimization: Optimize model performance and reduce inference latency in high-traffic production environments.
  • MLOps Leadership: Establish best practices for MLOps, CI/CD, and data governance to ensure reproducibility and reliability.
  • Technical Leadership: Lead architectural reviews, provide mentorship to junior engineers, and drive technical decision-making.
  • Strategic Innovation: Research emerging technologies in Generative AI and automation to maintain our competitive edge.

Qualifications

  • Experience: 7+ years of experience in software engineering with a strong focus on AI/ML and machine learning operations.
  • Programming: Proficiency in Python, TensorFlow, PyTorch, and modern AI frameworks (LangChain, Hugging Face).
  • Knowledge: Deep understanding of LLMs, RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering.
  • Cloud & DevOps: Experience with major cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).
  • System Design: Strong grasp of distributed systems, microservices architecture, and system design principles.
  • Communication: Excellent verbal and written communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python Machine Learning Deep Learning AWS Kubernetes MLOps NLP Generative AI System Design TensorFlow PyTorch

Ready to Take This Challenge?

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