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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Nexus Future Systems is at the forefront of defining the technological landscape for the next decade. We are launching Project 2026, a revolutionary initiative focused on next-generation generative AI and quantum-assisted computing. We are seeking a visionary Senior AI Architect to spearhead the technical strategy and execution of this groundbreaking platform.


Role Overview:
In this pivotal role, you will not just build models; you will architect the future of intelligent systems. You will work alongside world-class researchers and engineers to deliver scalable, robust, and ethically sound AI solutions that redefine industry standards.

Responsibilities

  • Lead the end-to-end architectural design of core AI models and infrastructure for Project 2026.
  • Define the technical roadmap, best practices, and coding standards for the AI engineering team.
  • Collaborate with R&D teams to integrate quantum computing algorithms into classical machine learning pipelines.
  • Optimize model performance for latency, throughput, and scalability in high-traffic environments.
  • Mentor senior engineers and guide technical decision-making to ensure project milestones are met.
  • Establish robust monitoring, logging, and evaluation frameworks for deployed models.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in machine learning engineering, with at least 5 years in a senior leadership role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Proven track record of deploying large-scale machine learning systems in production environments.
  • Strong background in system design, cloud architecture (AWS/GCP), and MLOps pipelines.

Required Skills

Python PyTorch TensorFlow Machine Learning System Design Cloud Architecture MLOps San Francisco California

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