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.

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

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TL;DR · Senior AI Architect - Enterprise Integrations

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As a Senior AI Architect at our enterprise integrations team in Irvine, you will lead the design and implementation of advanced AI solutions that integrate seamlessly with existing business systems. Your day-to-day responsibilities include collaborating with cross-functional teams to identify opportunities for AI-driven improvements, developing scalable machine learning models, and ensuring robust integration with legacy systems. You will leverage cutting-edge technologies such as Python, TensorFlow, and Kubernetes, while also working closely with cloud platforms like AWS or Azure. This role requires expertise in natural language processing, predictive analytics, and a deep understanding of enterprise architecture principles to address complex business challenges at scale.

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 mentor junior team members in AI.
Stay updated on the latest AI technologies and industry trends.

What we're looking for

5+ years of experience in designing and implementing AI solutions for enterprise clients.
Proven track record of leading technical teams in delivering complex AI projects.
Expertise in machine learning frameworks such as TensorFlow or PyTorch.
Strong background in data engineering, including ETL processes and big data technologies.
Experience with cloud platforms like AWS, Azure, or Google Cloud for AI deployments.
Excellent communication skills to interface effectively with both technical and non-technical stakeholders.

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