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Senior AI Architect: Shaping the Future of 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are looking for a visionary Senior AI Architect to lead our research and development division focused on the AI landscape of 2026. At Nexus Future Labs, we are building the foundational models that will redefine human-machine interaction. You will be at the forefront of Generative AI, Large Language Models (LLMs), and Agentic workflows.


If you are passionate about solving complex problems at the intersection of mathematics, computer science, and ethics, we want to hear from you.


Why Join Us?

  • Impact: Directly influence the trajectory of AI technology.
  • Equity: Competitive stock options and performance bonuses.
  • Environment: Top-tier hardware, access to massive datasets, and a diverse team of experts.

Responsibilities

  • Design and implement scalable architectures for next-generation AI systems and LLMs.
  • Lead the fine-tuning and deployment of proprietary models using PyTorch and TensorFlow.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Research novel algorithms to improve model accuracy, efficiency, and safety.
  • Establish best practices for MLOps, ensuring seamless CI/CD pipelines for model updates.
  • Advocate for ethical AI practices and data privacy standards.

Qualifications

  • 5+ years of professional experience in AI/ML, Deep Learning, or a related technical field.
  • Strong proficiency in Python, with deep knowledge of PyTorch or TensorFlow.
  • Experience with Hugging Face, LangChain, or similar model orchestration frameworks.
  • PhD or Master’s degree in Computer Science, Statistics, or a related discipline is preferred.
  • Proven track record of deploying models to production environments at scale.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Large Language Models LLMs MLOps AI Architecture SQL Docker Kubernetes

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