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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TL;DR · Senior AI Architect - Enterprise Integrations

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As a Senior AI Architect in the Enterprise Integrations team based in San Jose, you will lead the design and implementation of advanced AI solutions that integrate seamlessly with enterprise systems. Your day-to-day responsibilities include collaborating with cross-functional teams to identify business needs, architecting scalable machine learning models, and developing innovative AI-driven features for our products. You will work extensively with Python, TensorFlow, and Kubernetes, leveraging cloud platforms like AWS or Azure. With a focus on natural language processing and predictive analytics, you will tackle complex challenges in large-scale data environments, ensuring that your solutions drive meaningful business outcomes and enhance customer experiences across diverse industries.

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 across various enterprise platforms.
Optimize existing AI frameworks to enhance performance and efficiency.

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 through complex project delivery cycles.
Expertise in integrating AI technologies with existing enterprise systems and platforms.
Strong background in machine learning, natural language processing, and data analytics.
Excellent communication skills to interface effectively with both technical and non-technical stakeholders.

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