AI Architect - Confluent Business Systems (Remote)

IBM

Remote

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Work type
Remote
Location
Remote
Posted
8 days ago

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Similar $206k
$159k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $168,687–$242,875.

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IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · AI Architect - Confluent Business Systems (Remote)

As an AI Architect at Confluent Business Systems, you will join a dynamic and innovative team to lead the development of cutting-edge AI solutions. Your primary responsibilities include designing scalable machine learning models, integrating AI technologies into existing systems, and ensuring high-quality software delivery through rigorous testing and governance practices. You will work closely with stakeholders to understand their needs and deliver tailored AI solutions that drive business growth. The ideal candidate should have extensive experience in Python or Java, proficiency in cloud platforms like AWS or Azure, and a strong background in machine learning frameworks such as TensorFlow or PyTorch. This role involves tackling complex data challenges at scale within the enterprise software domain, making it an excellent opportunity for those passionate about advancing AI capabilities in business systems.

What you'll do

  • Design and implement advanced AI solutions to enhance business systems.
  • Develop machine learning models for predictive analytics and decision support.
  • Ensure compliance with data governance standards and quality assurance protocols.
  • Collaborate with stakeholders to identify AI-driven opportunities and improvements.
  • Maintain and optimize existing AI infrastructure for efficiency and scalability.

What we're looking for

  • 5+ years of experience in software development and architecture.
  • Proven expertise in artificial intelligence, machine learning, and data science.
  • Strong background in cloud computing platforms like AWS or Azure.
  • Experience with big data technologies such as Hadoop, Spark, and Kafka.
  • Excellent skills in programming languages like Python, Java, or Scala.
  • Ability to design and implement scalable, secure, and maintainable systems.

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