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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
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to shape the trajectory of artificial intelligence? Nexus Future Systems is currently seeking a visionary Senior AI Architect to lead the development of Project 2026, our next-generation cognitive computing platform designed to redefine human-machine interaction by 2026.

In this high-impact role, you will not just write code; you will architect the neural pathways of the future. We are looking for a pioneer who thrives in ambiguity and possesses the technical prowess to turn complex algorithms into seamless, scalable reality.

Responsibilities

  • Architect and deploy scalable machine learning models optimized for real-time inference on distributed edge networks.
  • Lead the research and implementation of cutting-edge Generative AI techniques, including Large Language Models (LLMs) and diffusion models.
  • Collaborate with cross-functional teams of data scientists, security experts, and product managers to define technical roadmaps for Project 2026.
  • Mentor junior engineers and establish best practices for code quality, testing, and deployment in a CI/CD environment.
  • Conduct rigorous performance tuning and memory optimization to ensure 99.99% system availability.
  • Stay ahead of the curve on emerging AI technologies and integrate relevant innovations into the core architecture.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence or Machine Learning.
  • Minimum of 5 years of professional experience in building production-grade AI systems, specifically with frameworks like PyTorch, TensorFlow, or JAX.
  • Deep understanding of parallel computing, GPU optimization (CUDA), and distributed training strategies.
  • Proven track record of leading large-scale system design projects and managing technical debt.
  • Excellent communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).

Required Skills

Python TensorFlow PyTorch CUDA System Design Machine Learning Deep Learning AWS Kubernetes Generative AI Edge Computing

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