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Senior AI Architect (2026 Vision) | San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Nexus Future Systems is seeking a visionary Senior AI Architect to lead our cutting-edge Generative AI division. As we look toward 2026, we are building the infrastructure that will define the next generation of human-machine interaction.

In this role, you won't just write code; you will define the roadmap for scalable, ethical, and transformative AI models. We are looking for a leader who thrives in ambiguity and possesses the technical prowess to turn theoretical possibilities into production reality.

Responsibilities

  • Architect Scalable LLM Solutions: Design and implement robust, scalable architectures for Large Language Models and Generative AI applications.
  • Lead R&D Initiatives: Spearhead research into emerging AI paradigms, ensuring Nexus remains at the forefront of technological innovation.
  • System Optimization: Oversee the optimization of model inference and training pipelines to ensure low-latency, high-throughput performance.
  • Technical Mentorship: Foster a culture of engineering excellence by mentoring junior developers and senior engineers alike.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex business requirements into elegant technical solutions.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s or PhD preferred.
  • Experience: 5+ years of experience in AI/ML engineering with a focus on Deep Learning and NLP.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; experience with LangChain or Hugging Face.
  • LLM Mastery: Strong understanding of transformer architectures, fine-tuning strategies, and RAG (Retrieval-Augmented Generation) systems.
  • Leadership: Proven track record of leading technical teams and delivering complex projects on time.

Required Skills

Python Machine Learning Deep Learning NLP LLMs PyTorch TensorFlow System Architecture Cloud Computing Generative AI

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