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Senior AI Architect - 2026 Vision

Apex Innovations
New York
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to architect the future of intelligence? Apex Innovations is seeking a visionary Senior AI Architect to lead our groundbreaking research and deployment of next-generation artificial intelligence systems. In this pivotal role, you will define the technical roadmap for our products, pushing the boundaries of what is possible in 2026 and beyond.


As a leader in our tech stack, you will be responsible for designing scalable, robust, and ethical AI models that power our core platforms. We are looking for a self-starter who thrives in a fast-paced environment and is passionate about solving complex problems using machine learning, deep learning, and large language models.


Why Join Us?

  • Work on cutting-edge technology that defines the next decade of computing.
  • Competitive compensation package with equity opportunities.
  • Flexible remote-first culture with a premium NYC office.

Responsibilities

  • Architect and deploy scalable AI/ML infrastructure capable of handling billions of data points.
  • Lead the R&D efforts in Generative AI, NLP, and Computer Vision.
  • Design novel neural network architectures to improve model accuracy and efficiency.
  • Collaborate with cross-functional teams (Product, Engineering, Data Science) to translate business requirements into technical AI solutions.
  • Ensure ethical AI practices, including bias mitigation and data privacy compliance.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5 years of experience in designing and implementing production-level AI/ML systems.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of working with Large Language Models (LLMs) and fine-tuning techniques.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of MLOps, data pipelines, and model deployment strategies.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps AWS Docker Kubernetes GenAI

Ready to Take This Challenge?

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