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Senior AI Architect: 2026 Vision

Apex Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join the Vanguard of the 2026 Era. Apex Horizon Systems is seeking a visionary Senior AI Architect to design the infrastructure that will power the next generation of intelligent applications. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production deployment, ensuring our solutions are not just advanced, but future-proof for the demands of 2026 and beyond.

We are a remote-first company pushing the boundaries of Generative AI, Computer Vision, and Autonomous Systems. If you are passionate about ethical AI and building systems that learn, adapt, and scale, we want to hear from you.

Responsibilities

  • Architect Next-Gen AI Solutions: Design and implement robust, scalable machine learning pipelines and infrastructure capable of handling the computational demands of future workloads.
  • Lead Research & Development: Spearhead experiments in Large Language Models (LLMs) and multimodal AI to drive product innovation.
  • Optimize Model Performance: Fine-tune models for speed and accuracy, implementing advanced quantization and pruning techniques.
  • Cloud Infrastructure: Manage deployment on AWS or GCP, ensuring high availability and security compliance.
  • Cross-Functional Collaboration: Work closely with product managers and engineers to translate business needs into technical AI roadmaps.
  • Mentorship: Guide junior data scientists and engineers in best practices for modern AI engineering.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience: 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models.
  • Programming: Expert proficiency in Python, PyTorch, or TensorFlow.
  • Architecture: Deep understanding of distributed systems and cloud architecture (AWS/GCP/Azure).
  • Tools: Experience with MLOps tools (Kubernetes, Docker, MLflow).
  • Problem Solving: Proven track record of solving complex technical challenges in high-pressure environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS GCP Kubernetes Docker MLOps NLP Generative AI

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