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Information Technology 🏢 Full Time ⭐️ Verified

Senior Generative AI Architect (2026 Vision)

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Senior Generative AI Architect to lead our next-generation AI initiatives. As we prepare for the technological landscape of 2026, you will be at the forefront of designing scalable, secure, and efficient Large Language Model (LLM) infrastructures. Join a team of elite engineers dedicated to pushing the boundaries of what is possible with AI.


Why Join Us?

  • Work on cutting-edge AI models that will define the future of enterprise technology.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with quarterly in-person innovation summits.
  • Access to the latest hardware and research.

Responsibilities

  • Design and implement end-to-end AI/ML pipelines focusing on Generative AI and LLMs.
  • Lead the architecture of proprietary models, ensuring scalability and low-latency inference.
  • Collaborate with product teams to translate business requirements into technical AI solutions.
  • Optimize model performance for production environments using quantization and distillation techniques.
  • Establish best practices for MLOps, monitoring, and observability in AI systems.
  • Research and prototype novel algorithms to stay ahead of 2026 AI trends.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 7+ years of experience in software engineering with a focus on Machine Learning.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven experience deploying and tuning LLMs (GPT, Claude, Llama) in production.
  • Strong understanding of NLP, RAG (Retrieval-Augmented Generation), and vector databases.
  • Excellent communication skills and the ability to mentor junior engineers.

Required Skills

Python PyTorch TensorFlow LLMs NLP MLOps Machine Learning Deep Learning GPT RAG Vector Databases Docker Kubernetes

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