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Lead AI Architect (2026 Horizon)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

We are Nexus Future Labs, a pioneering research organization defining the technological landscape for 2026. We are seeking a visionary Lead AI Architect to spearhead the development of our next-generation generative AI systems and autonomous agents.

In this pivotal role, you will bridge the gap between theoretical research and scalable production systems. You will be responsible for designing the core architecture that powers our predictive analytics engines and neural interfaces. If you are passionate about shaping the future of technology and possess the technical prowess to lead complex engineering initiatives, we want to meet you.

Why Join Us?
We offer competitive compensation, equity packages, and the opportunity to work on projects that redefine human-computer interaction.

Responsibilities

  • Architect and deploy scalable machine learning pipelines aligned with the 2026 product roadmap.
  • Lead a cross-functional team of data scientists, ML engineers, and researchers.
  • Optimize deep learning models for low-latency edge computing environments.
  • Research and implement state-of-the-art Natural Language Processing (NLP) and Computer Vision techniques.
  • Establish best practices for model training, evaluation, and deployment (MLOps).
  • Collaborate with quantum computing researchers to integrate hybrid systems.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 8+ years of experience in machine learning engineering and software architecture.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven track record of leading high-performance engineering teams.
  • Experience with cloud infrastructure (AWS/Azure/GCP) and containerization (Docker/Kubernetes).
  • Strong understanding of ethical AI, bias mitigation, and fairness in algorithms.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AI Architecture MLOps Kubernetes AWS Leadership NLP Computer Vision

Ready to Take This Challenge?

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