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Senior AI/LLM Architect (2026 Vision)

Apex Innovation Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior AI/LLM Architect to lead our R&D efforts for the 2026 technological horizon. As we bridge the gap between current AI capabilities and future AGI architectures, you will be at the forefront of building scalable, ethical, and high-performance machine learning systems. This is a rare opportunity to shape the infrastructure of the next generation of digital intelligence.


Why Join Us?
We offer competitive equity, unlimited PTO, and a fully remote-first culture with hubs in San Francisco. You will work directly with CTOs and product leaders to define the roadmap for 2026.

Responsibilities

  • Design and deploy large-scale LLMs (Large Language Models) tailored for enterprise-specific tasks and 2026 market demands.
  • Architect next-generation AI agents capable of autonomous decision-making and complex reasoning.
  • Optimize inference latency and model accuracy using advanced quantization and distillation techniques.
  • Establish best practices for data governance, privacy, and AI safety compliance.
  • Collaborate with cross-functional teams to integrate AI models into real-time applications and APIs.
  • Conduct research on cutting-edge architectures (e.g., Mixture of Experts, Retrieval-Augmented Generation) to stay ahead of the 2026 curve.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of experience in Machine Learning engineering, specifically with PyTorch, TensorFlow, or JAX.
  • Deep expertise in transformer architectures and fine-tuning methodologies.
  • Strong proficiency in Python, SQL, and cloud infrastructure (AWS/GCP/Azure).
  • Experience with vector databases (Pinecone, Milvus) and RAG pipelines.
  • Proven track record of shipping production-grade ML models.

Required Skills

Python PyTorch TensorFlow Large Language Models LLM Fine-tuning Machine Learning Engineering AWS Cloud Architecture AI Ethics RAG Vector Databases

Ready to Take This Challenge?

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