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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Generative Intelligence

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

Job Description

Are you ready to define the future of technology? Nexus Future Systems is seeking a visionary Senior AI Architect to lead our 2026 strategic initiatives. We are building the next generation of generative models and predictive intelligence, and we need a technical leader who can bridge the gap between theoretical research and scalable production.

In this pivotal role, you will not just implement existing solutions; you will pioneer new methodologies that will set the industry standard for the upcoming decade. We are looking for a self-starter who thrives in a fast-paced environment and is passionate about the ethical application of Artificial Intelligence.

Responsibilities

  • Lead the end-to-end development of cutting-edge Generative AI and Large Language Model (LLM) solutions.
  • Architect high-performance, scalable machine learning pipelines designed for the demands of 2026 and beyond.
  • Conduct pioneering research in neural network optimization and natural language processing.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing products.
  • Mentor junior engineers and establish best practices for AI safety and ethics.
  • Optimize model inference latency and reduce resource consumption for cloud deployment.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 8+ years of professional experience in software engineering with a strong focus on AI/ML.
  • Deep proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of deploying production-ready models at scale.
  • Experience with vector databases and semantic search architectures.
  • Strong understanding of Transformer architectures and fine-tuning strategies.

Required Skills

Python PyTorch TensorFlow Machine Learning Large Language Models AI SQL Docker Kubernetes AWS GCP Generative AI NLP LLMs MLOps

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