Senior AI Architect - Enterprise Integrations

IBM

Remote

Quick summary

Work type: Remote
Location: Remote
Posted: 12 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $207k

$151k most similar roles pay here $274k

This listing doesn't post a salary. Most similar roles pay $168,787–$246,150.

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 704 open roles on FindRole.

Listed pay typically runs $1,000,000–$1,000,000 across 9 roles with salary data.

Most-posted roles

View all roles at IBM

At a glance

TL;DR · Senior AI Architect - Enterprise Integrations

Apply Now Log in to save

As a Senior AI Architect in the Enterprise Integrations team based in Chicago, you will lead the technical delivery of advanced AI solutions tailored for enterprise clients. Your primary responsibilities include designing and implementing scalable machine learning models that integrate seamlessly with existing business systems. You will work closely with cross-functional teams to identify key areas where AI can drive efficiency and innovation, ensuring that your solutions address complex business challenges at scale. The role requires expertise 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. Additionally, experience with data engineering tools and an understanding of enterprise architecture principles are highly valued.

Skills

Python Java Kubernetes Docker AWS Azure CI/CD MLOps TensorFlow PyTorch PostgreSQL MongoDB Git Jenkins Prometheus Grafana

What you'll do

Design and implement advanced AI solutions for enterprise clients.
Integrate AI systems with existing enterprise infrastructure securely.
Optimize AI models to meet performance and scalability requirements.
Conduct technical reviews and provide architectural guidance.
Stay updated on the latest AI technologies and industry trends.

What we're looking for

5+ years of experience in AI and machine learning architecture.
Proven track record of integrating AI solutions into enterprise environments.
Expertise in developing scalable and secure AI systems.
Strong background in data science and analytics methodologies.
Experience with cloud platforms (AWS, Azure) for AI deployment.

Save