Senior AI Architect - Enterprise Integrations

IBM

Remote

Quick summary

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

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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.

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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 in the Enterprise Integrations team based in Houston, you will lead the design and implementation of advanced AI solutions that integrate seamlessly with existing enterprise systems. Your day-to-day responsibilities include collaborating with cross-functional teams to identify business needs, architecting scalable machine learning models, and ensuring robust integration with cloud platforms like AWS or Azure. You will leverage Python, Java, and Kubernetes to build innovative AI products tailored for large-scale enterprise environments. This role requires expertise in natural language processing, computer vision, and deep learning frameworks such as TensorFlow and PyTorch. Additionally, you should have a strong background in software engineering practices and experience with DevOps tools like Jenkins or GitLab CI/CD pipelines.

Skills

Python TensorFlow Kubernetes AWS Docker CI/CD PostgreSQL Redis GraphQL Microservices MLOps

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 improve performance and efficiency continuously.
Conduct technical reviews and provide guidance on AI projects.
Stay updated with the latest advancements in AI technologies.

What we're looking for

5+ years of experience in AI and machine learning.
Proven track record in enterprise software integration.
Strong background in designing scalable AI solutions.
Expertise in Python and other programming languages relevant to AI.
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Excellent problem-solving skills and technical leadership.

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