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Senior AI Architect & GenAI Specialist

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join the Vanguard of Artificial Intelligence

We are not just building software; we are architecting the future of intelligent systems. Apex Future Systems is seeking a visionary Senior AI Architect & GenAI Specialist to lead the development of next-generation Large Language Models and Autonomous Agents. If you are passionate about pushing the boundaries of what AI can achieve and want to be at the forefront of the industry in 2026 and beyond, this is your opportunity.

In this high-impact role, you will define the technical strategy for our proprietary LLM suite, optimizing for speed, accuracy, and ethical deployment. You will work in a collaborative, fast-paced environment with top-tier researchers and engineers.

Responsibilities

  • Design and deploy scalable AI architectures using Python, PyTorch, and TensorFlow.
  • Lead research and implementation of advanced Retrieval-Augmented Generation (RAG) pipelines.
  • Optimize model inference latency and cost-efficiency for high-volume production environments.
  • Collaborate with product teams to integrate cutting-edge AI capabilities into consumer-facing applications.
  • Establish best practices for MLOps, monitoring, and model governance.
  • Conduct exploratory research on emerging LLM paradigms to keep our stack ahead of the curve.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in building and deploying production-grade Machine Learning models.
  • Expert proficiency in Python, SQL, and deep learning frameworks.
  • Strong understanding of Natural Language Processing (NLP) and Transformer architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Natural Language Processing PyTorch TensorFlow MLOps AWS GCP Docker Kubernetes

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