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Senior AI Architect - 2026 Vision

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to architect the future of intelligence? Apex Innovations is seeking a visionary Senior AI Architect to lead the development of our flagship Generative AI suite designed for the 2026 landscape.

As we push the boundaries of what's possible, you will be responsible for building robust, scalable, and secure Large Language Model (LLM) infrastructures. This is not just about coding; it's about defining the technical paradigms and ethical standards of the next decade. If you are passionate about pushing the envelope of AI capabilities and preparing for the future of work, we want to meet you.

Why Join Us?

  • Work on cutting-edge RAG (Retrieval-Augmented Generation) systems.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote-first culture with a hub in San Francisco.

Responsibilities

  • Design and implement end-to-end Generative AI pipelines using RAG and fine-tuning methodologies.
  • Optimize model performance and reduce latency for real-time inference.
  • Collaborate with cross-functional teams to integrate AI models into production environments.
  • Conduct research on emerging architectures to stay ahead of the 2026 roadmap.
  • Ensure data privacy and security compliance across all AI deployments.
  • Mentor junior engineers and establish coding best practices for AI teams.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
  • 5+ years of experience in NLP, Deep Learning, and AI engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of deploying large-scale machine learning models.
  • Strong understanding of LLMs, Transformers, and Vector Databases.
  • Experience with cloud platforms (AWS, GCP, or Azure).

Required Skills

Python PyTorch TensorFlow Machine Learning NLP LLM Generative AI RAG Vector Databases AWS GCP San Francisco

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