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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are pioneering the technological landscape of 2026 and beyond. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the design and deployment of next-generation generative models. In this role, you will bridge the gap between theoretical machine learning research and scalable production infrastructure.

You will be responsible for architecting the core AI systems that will power our enterprise clients through the next decade. If you are passionate about the future of AI safety, scalability, and multimodal learning, we want to hear from you.

Responsibilities

  • Architect and implement scalable Large Language Model (LLM) and multimodal AI systems designed for the 2026 market.
  • Optimize model inference performance and reduce latency for real-time applications.
  • Lead the research and implementation of fine-tuning strategies for proprietary datasets.
  • Collaborate with data science and engineering teams to establish MLOps pipelines and CI/CD workflows.
  • Ensure ethical AI practices, including bias mitigation and data privacy compliance.
  • Define technical roadmaps for AI infrastructure upgrades and hardware selection (GPUs/TPUs).
  • Conduct code reviews and mentor junior engineers in advanced AI engineering practices.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 7+ years of experience in software engineering with a strong focus on AI/ML.
  • Deep expertise in deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Proven experience designing and deploying production-grade LLMs or Transformer architectures.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with model quantization, pruning, and efficient inference techniques.
  • Excellent communication skills and the ability to translate complex technical concepts to stakeholders.

Required Skills

Python PyTorch TensorFlow Large Language Models MLOps Distributed Systems Cloud Computing AI Safety Transformer Architecture CUDA Docker Kubernetes

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