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Lead AI Architect: Shaping the 2026 Tech Landscape

Nexus Horizon Labs
New York
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

Welcome to Nexus Horizon Labs.

We are on a mission to define the technological standards of 2026 and beyond. As a premier technical consultancy, we are seeking a visionary Lead AI Architect to spearhead our next-generation research initiatives. If you thrive in a fast-paced environment and are passionate about building scalable, intelligent systems, this is your opportunity to shape the future.

In this role, you will bridge the gap between theoretical AI research and practical enterprise application, ensuring our solutions remain at the cutting edge of the industry.

Responsibilities

  • Architect and deploy scalable machine learning pipelines designed for high-volume, low-latency environments.
  • Lead the technical strategy for our 2026 roadmap, integrating emerging Generative AI and LLM technologies.
  • Mentor a diverse team of data scientists and software engineers, fostering a culture of innovation and technical excellence.
  • Collaborate with product managers to translate complex business requirements into robust technical solutions.
  • Optimize neural network architectures and implement rigorous testing protocols to ensure model accuracy and security.
  • Oversee cloud infrastructure (AWS/Azure/GCP) to ensure seamless deployment and scalability.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7 years of experience in software engineering and machine learning architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Strong hands-on experience with MLOps tools (Kubernetes, Docker, MLflow) and CI/CD pipelines.
  • Deep understanding of Natural Language Processing (NLP) and Computer Vision applications.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning PyTorch TensorFlow MLOps Cloud Architecture Natural Language Processing Kubernetes Docker Generative AI

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