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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Roadmap

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

Job Description

We are seeking a visionary Lead AI Architect to spearhead our technology trajectory through 2026. At Nexus Future Labs, we are not just building software; we are architecting the future of intelligent systems. You will define the high-level technical vision, ensuring our engineering roadmap aligns with the rapid evolution of Artificial Intelligence and Machine Learning.

In this pivotal role, you will bridge the gap between theoretical research and production-grade systems. You will lead a world-class team of engineers and data scientists, making critical decisions that will define our product landscape for the next two years.

If you are passionate about building scalable, secure, and groundbreaking AI solutions, we want to hear from you.

Responsibilities

  • Define and execute the technical roadmap for 2026, translating business goals into scalable engineering strategies.
  • Lead the architecture of next-generation AI systems, including Large Language Models (LLMs) and generative AI applications.
  • Mentor and manage a team of senior AI engineers, fostering a culture of innovation and technical excellence.
  • Ensure system scalability, data security, and high availability across distributed cloud environments.
  • Stay ahead of industry trends to integrate emerging technologies (e.g., Quantum Computing interfaces, advanced neural networks) into our stack.
  • Collaborate with product and design teams to deliver user-centric features that leverage advanced AI capabilities.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • 10+ years of experience in software architecture, with at least 5 years in a leadership role within AI/ML.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
  • Proven experience designing microservices architectures and managing large-scale data pipelines.
  • Strong command of cloud infrastructure (AWS, GCP, or Azure) with a focus on AI/ML services.
  • Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning AI Architecture Cloud Computing TensorFlow PyTorch System Design Leadership Deep Learning

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