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 advanced AI solutions. Your primary responsibilities include designing scalable machine learning models, integrating AI technologies with existing systems, and ensuring high-quality software delivery through rigorous testing and governance practices. You will work closely with stakeholders to understand business needs and translate them into technical requirements. The ideal candidate possesses extensive experience in Python, Java, and Kubernetes, along with expertise in cloud platforms like AWS or Azure. This role involves tackling complex data challenges at scale within the enterprise domain, requiring a deep understanding of both AI technologies and their practical applications in real-world scenarios.

Skills

Python Java Kafka Confluent Platform Docker Kubernetes AWS CI/CD Git SQL NoSQL Microservices MLOps

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 opportunities and drive innovation.
Maintain up-to-date knowledge of emerging AI technologies and industry trends.

What we're looking for

5+ years of experience in software engineering and architecture.
Proven expertise in designing and implementing scalable AI solutions.
Strong background in data modeling, machine learning algorithms, and analytics.
Experience with cloud platforms (AWS, Azure, GCP) for AI deployment.
Excellent communication skills to collaborate effectively with stakeholders.

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