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Senior AI Architect (2026 Vision)

Quantum Horizon Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are a leading research firm pioneering the technological landscape of 2026. We are looking for visionary Senior AI Architects to design and deploy the next generation of autonomous agents and multimodal AI systems. If you are passionate about pushing the boundaries of Generative AI, LLMs, and autonomous decision-making frameworks, we want to hear from you.

In this role, you will bridge the gap between theoretical research and scalable production systems, ensuring our solutions are not only cutting-edge but also ethical and efficient. You will work with a world-class team of data scientists, engineers, and product strategists to define the future of intelligent automation.

Responsibilities

  • Design and architect scalable AI infrastructures capable of supporting high-frequency, autonomous decision-making workflows.
  • Lead the development and fine-tuning of advanced Large Language Models (LLMs) and multimodal systems.
  • Implement and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and relevance.
  • Establish best practices for MLOps, ensuring model deployment, monitoring, and retraining are seamless.
  • Conduct rigorous testing on bias, safety, and performance to ensure robust, ethical AI outputs.
  • Collaborate with cross-functional teams to translate complex technical requirements into innovative product solutions.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience building and deploying production-grade LLMs and Generative AI applications.
  • Strong understanding of Transformer architectures, attention mechanisms, and NLP techniques.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Demonstrated ability to lead technical strategy and mentor junior engineers.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM Generative AI MLOps Cloud Computing Docker Kubernetes

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