AI Architect - Confluent Business Systems (Remote)

IBM

Remote

Quick summary

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.

Based on 240 similar postings.

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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)

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As an AI Architect at Confluent Business Systems, you will join a dynamic and innovative team to lead the development of cutting-edge artificial intelligence solutions. Your primary responsibilities include designing scalable machine learning models, integrating AI technologies into existing business 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 value. The role requires expertise in Python, Java, and cloud platforms like AWS or Azure, along with a strong background in machine learning frameworks such as TensorFlow and PyTorch. This position is ideal for someone passionate about leveraging AI to solve complex business challenges at scale.

Skills

Python Java Kafka Confluent Platform Docker Kubernetes AWS CI/CD Git SQL PostgreSQL Maven Jenkins

What you'll do

Design and implement advanced AI solutions to optimize 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 understand requirements and deliver tailored AI solutions.
Maintain and enhance existing AI infrastructure to improve system performance.

What we're looking for

5+ years of experience in software engineering or a related field.
Proven expertise in designing and implementing complex AI systems.
Strong background in machine learning frameworks and algorithms.
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Excellent skills in data modeling, analysis, and visualization tools.
Ability to lead technical projects from conception through deployment.

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