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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

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

Job Description

We are seeking a visionary Senior AI Architect to spearhead our revolutionary Project 2026 initiative. This is an opportunity to define the future of autonomous intelligence and scalable machine learning systems. You will work in a dynamic, high-performance environment alongside industry leaders to build next-generation solutions that will shape the technological landscape of the decade.

Why Join Us?
β€’ Competitive compensation package
β€’ Remote-first culture with HQ in SF
β€’ Cutting-edge technology stack
β€’ Equity opportunities

Responsibilities

  • Architect and design scalable AI infrastructure and deep learning pipelines for Project 2026.
  • Lead the research and development of proprietary Large Language Models (LLMs) and neural networks.
  • Collaborate with product managers and engineering teams to integrate AI capabilities into production environments.
  • Optimize model performance, latency, and throughput for real-time applications.
  • Establish best practices for MLOps, data governance, and model deployment.
  • Conduct technical mentorship and code reviews for the AI engineering squad.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Deep understanding of Deep Learning, Natural Language Processing (NLP), and Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong leadership skills with a track record of delivering complex technical projects on time.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing MLOps AWS Docker Kubernetes

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