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Senior AI Architect (Generative AI)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technological roadmap for the next generation of generative intelligence. As the industry shifts toward autonomous AI agents and reasoning models, Nexus Horizon Labs is building the infrastructure to power the era of 2026.

In this pivotal role, you will bridge the gap between theoretical research and production-scale deployment. You will lead a team of brilliant engineers in building robust, scalable, and safe AI systems that integrate seamlessly into complex enterprise ecosystems.

Why this role stands out:

  • Lead the architecture of next-gen Large Language Models (LLMs).
  • Work on cutting-edge projects with significant equity upside.
  • Collaborate with world-class researchers and product leaders.

Responsibilities

  • Architect and deploy high-performance generative AI models optimized for low-latency inference and high throughput.
  • Lead the research, fine-tuning, and alignment strategies for proprietary LLMs and agentic workflows.
  • Implement rigorous testing frameworks to ensure safety, fairness, and reliability of AI outputs.
  • Optimize model efficiency through techniques such as quantization, pruning, and hardware acceleration.
  • Collaborate with cross-functional teams (product, data science, security) to integrate AI capabilities into consumer products.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of experience in machine learning engineering, with a strong focus on deep learning and NLP.
  • Expert proficiency in Python, PyTorch, and C++.
  • Deep understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with MLOps pipelines, model versioning, and A/B testing frameworks.

Required Skills

Python PyTorch Machine Learning Deep Learning LLMs NLP Kubernetes AWS System Design MLOps

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