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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: The 2026 Roadmap

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are not just building software; we are architecting the digital reality of 2026. Nexus Future Labs is seeking a visionary Senior AI Architect to spearhead our next-generation infrastructure. Our mission is to engineer the systems that will define the future of human-machine interaction.

In this pivotal role, you will bridge the gap between theoretical breakthroughs in Generative AI and scalable, production-grade deployment. You will lead the technical roadmap for the '2026 Initiative,' ensuring our platforms are robust, intelligent, and ready to handle the demands of a hyper-connected future.

If you possess a deep understanding of neural architectures and a passion for pushing the boundaries of what is possible, we want to hear from you.

Responsibilities

  • Architect and deploy scalable, high-performance AI models capable of real-time processing of petabyte-scale data streams.
  • Lead the technical vision for the 2026 Initiative, designing systems that are quantum-ready and future-proof.
  • Collaborate with cross-functional teams to integrate advanced AI capabilities into core product ecosystems.
  • Mentor and guide junior engineers, fostering a culture of technical excellence, innovation, and continuous learning.
  • Optimize neural network performance, reduce latency, and ensure system resilience under heavy load.
  • Stay ahead of emerging technological trends to advise leadership on strategic technology adoption.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture and leadership.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, Docker).
  • Strong background in Large Language Models (LLMs), NLP, and generative AI frameworks.
  • Proven track record of leading engineering teams through complex, large-scale deployments and migrations.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Distributed Systems AI Architecture Leadership Generative AI Kubernetes

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