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Senior AI Architect (Generative Focus)

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

Job Description

We are on a mission to define the AI landscape of 2026 and beyond. Apex Horizon Solutions is seeking a visionary Senior AI Architect to lead our Generative AI division. You will be at the forefront of developing scalable, responsible, and high-impact Large Language Model (LLM) applications.


In this role, you will bridge the gap between theoretical machine learning research and production-grade engineering. You will be responsible for architecting the systems that power our next-generation intelligent agents, ensuring they are robust, efficient, and capable of understanding complex human intent.


Why Join Us?

  • Work on cutting-edge projects that define the future of enterprise AI.
  • Competitive compensation package with equity options.
  • Top-tier benefits and a remote-first culture focused on innovation.

Responsibilities

  • Architect and deploy end-to-end Generative AI pipelines, from data ingestion to model fine-tuning and serving.
  • Design scalable infrastructure for LLM inference and training, optimizing for latency and cost.
  • Collaborate with research scientists to adapt state-of-the-art models for specific business verticals.
  • Implement robust evaluation frameworks to monitor model performance, hallucinations, and bias.
  • Ensure the security, privacy, and ethical compliance of all AI systems deployed.
  • Mentor junior engineers and contribute to the technical roadmap for the AI division.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field, or equivalent practical experience.
  • 5+ years of experience in machine learning, deep learning, or natural language processing.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of transformer architectures (BERT, GPT, LLaMA, etc.) and RAG (Retrieval-Augmented Generation).
  • Experience with MLOps tools (MLflow, Kubeflow) and cloud platforms (AWS, GCP, or Azure).
  • Proven track record of shipping production-level AI applications.

Required Skills

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

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