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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Systems Architect (Project 2026)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to define the future of artificial intelligence? Nexus Future Labs is seeking a visionary Senior AI Systems Architect to spearhead our Project 2026 initiative. We are not just looking for a developer; we are looking for a strategic leader who will shape the trajectory of our technology for the coming decade.

As we move toward the 2026 strategic horizon, the landscape of technology is shifting rapidly. We are building the robust, scalable infrastructure that will define the next generation of intelligence engines. In this pivotal role, you will architect the very fabric of our systems, ensuring they are resilient, innovative, and ready for the future.

Why Join Nexus Future Labs?

  • Work on cutting-edge AI infrastructure that defines industry standards.
  • Take ownership of the technical roadmap for 2026 and beyond.
  • Collaborate with world-class talent in a premium, high-growth environment.
  • Enjoy a competitive compensation package and comprehensive benefits.

Responsibilities

  • Design and implement scalable AI system architectures aligned with the 2026 strategic roadmap.
  • Lead the integration and optimization of Large Language Models (LLMs) into core products.
  • Oversee system performance, security, and reliability across distributed environments.
  • Mentor a team of data scientists, ML engineers, and backend developers.
  • Define technical standards and best practices to ensure long-term maintainability.
  • Collaborate with product leadership to translate business goals into technical execution plans.

Qualifications

  • 10+ years of experience in software engineering, machine learning systems, and AI.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of leading complex, large-scale technical projects from conception to deployment.
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to bridge the gap between technical and non-technical stakeholders.
  • A passion for solving complex problems and a forward-thinking mindset regarding emerging technologies.

Required Skills

AI Machine Learning System Architecture Python PyTorch TensorFlow Cloud Computing Kubernetes Distributed Systems LLMs Technical Leadership

Ready to Take This Challenge?

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