Senior AI Architect - Enterprise Integrations

IBM

Remote

Quick summary

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

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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.

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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.

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At a glance

TL;DR · Senior AI Architect - Enterprise Integrations

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As a Senior AI Architect at our enterprise-focused team in Bellevue, you will lead the integration of advanced AI solutions into complex business systems. Your day-to-day responsibilities include designing scalable and efficient machine learning models, collaborating with cross-functional teams to understand their needs, and implementing cutting-edge technologies that enhance operational efficiency. You will work extensively with Python, TensorFlow, and Kubernetes, leveraging cloud platforms like AWS and Azure for deployment. With a deep understanding of enterprise architecture and data management, you will tackle challenges such as optimizing large-scale data pipelines and ensuring the security and privacy of sensitive information within our high-impact projects.

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 integration.
Lead technical architecture reviews to ensure scalability and reliability.
Develop machine learning models tailored to client-specific business needs.
Collaborate on the deployment of AI systems in diverse enterprise environments.
Conduct performance tuning and optimization of AI applications.

What we're looking for

5+ years of experience in designing and implementing AI solutions.
Proven track record in integrating AI technologies with enterprise systems.
Strong background in machine learning and deep learning frameworks.
Experience with cloud platforms like AWS or Azure for AI deployments.
Excellent problem-solving skills and ability to work on complex projects.

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