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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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 in the Enterprise Integrations team based in Jersey City, 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 and Azure. You will leverage Python and Java for developing intelligent workflows, while also utilizing Kubernetes for container orchestration. Ideal candidates possess a deep understanding of natural language processing (NLP) and computer vision, along with experience in deploying AI solutions at scale to solve complex business challenges within the enterprise sector.

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 business needs.
Integrate AI systems with existing enterprise infrastructure securely.
Optimize data pipelines for efficient AI model training and deployment.

What we're looking for

5+ years of experience in designing and implementing AI solutions.
Proven track record in integrating AI with enterprise systems.
Strong expertise in machine learning frameworks and algorithms.
Experience leading cross-functional teams in complex projects.
Excellent problem-solving skills and technical leadership abilities.
Bachelor’s degree in Computer Science or related field required.

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