AI Architect - Confluent Business Systems (Remote)

IBM

Remote

Quick summary

Work type: Remote
Location: Remote
Posted: 8 days ago

Market check

Salary context

How this pay compares to similar roles

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.

Employer

About IBM

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

IBM currently has 743 open roles on FindRole.

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

Most-posted roles

View all roles at IBM

At a glance

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

Apply Now Log in to save

As an AI Architect at Confluent Business Systems, you will join a dynamic and innovative team to develop cutting-edge solutions for complex business challenges. Your primary responsibilities include designing and implementing advanced machine learning models, integrating AI technologies into existing systems, and ensuring high-quality software development practices. Day-to-day tasks involve collaborating with stakeholders to understand their needs, conducting research on new AI techniques, and overseeing the deployment of AI-driven applications. 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. You will work within a large-scale enterprise environment, focusing on optimizing business processes through intelligent automation and predictive analytics.

Skills

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

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 control measures.
Collaborate with stakeholders to understand requirements and deliver tailored solutions.
Maintain and optimize existing AI infrastructure for efficiency and scalability.

What we're looking for

5+ years of experience in software engineering and architecture.
Proven expertise in designing and implementing machine learning models.
Strong background in cloud computing platforms like AWS or Azure.
Experience with data governance and quality assurance practices.
Excellent communication skills for working closely with stakeholders.

Save