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Senior AI Architect | 2026 Visionary

Apex 2026 Systems
New York
Estimated Salary
USD 165.000 – USD 235.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Shape the Future of Intelligence.

Apex 2026 Systems is pioneering the next era of technological evolution. As a Senior AI Architect, you will be at the helm of our mission to integrate advanced generative AI and quantum-ready models into enterprise solutions. We are looking for a strategic thinker and technical expert to guide our architecture through the pivotal year of 2026 and beyond.

Key Highlights:

  • Lead the architectural design for next-generation neural networks.
  • Drive the implementation of ethical AI frameworks and compliance standards.
  • Collaborate with a world-class team of data scientists and engineers.

Join us in building the infrastructure for tomorrow, today.

Responsibilities

  • Architect scalable, high-performance machine learning pipelines capable of processing petabyte-scale datasets.
  • Oversee the end-to-end lifecycle of AI model development, from research to production deployment.
  • Define technical roadmaps for AI infrastructure improvements aligned with 2026 strategic goals.
  • Conduct rigorous code reviews and mentor engineering teams on best practices in deep learning.
  • Identify and mitigate risks related to model bias, security vulnerabilities, and data integrity.
  • Partner with product management to translate complex technical requirements into user-centric features.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, C++, and modern frameworks such as PyTorch and TensorFlow.
  • Proven track record of deploying Large Language Models (LLMs) and transformer architectures at scale.
  • Experience with cloud native technologies (AWS, Azure, or GCP) and container orchestration (Kubernetes).
  • Strong understanding of MLOps, CI/CD pipelines, and data governance principles.

Required Skills

AI Machine Learning Python TensorFlow PyTorch Cloud Computing Kubernetes Deep Learning MLOps Data Science

Ready to Take This Challenge?

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