Senior AI Solution Architect

IBM

Remote

Quick summary

Work type: Remote
Location: Remote
Posted: 5 days ago

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How this pay compares to similar roles

Similar $208k

$160k most similar roles pay here $268k

This listing doesn't post a salary. Most similar roles pay $170,000–$245,287.

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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TL;DR · Senior AI Solution Architect

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As a Senior AI Solution Architect in New York, you will join a dynamic team focused on delivering cutting-edge AI solutions to clients. Your primary responsibilities include designing and implementing advanced AI systems, collaborating with cross-functional teams to integrate machine learning models into existing applications, and providing technical guidance for complex projects. You will work extensively with Python, TensorFlow, and other leading ML frameworks while leveraging cloud platforms like AWS or Azure. Ideal candidates possess a deep understanding of natural language processing (NLP) and computer vision, along with strong communication skills to effectively convey technical concepts to non-technical stakeholders. This role addresses critical business challenges in diverse sectors such as finance, healthcare, and retail, requiring expertise in large-scale data management and scalable solution deployment.

Skills

Python TensorFlow Keras PyTorch AWS Azure Google Cloud Platform Docker Kubernetes CI/CD Git Jenkins PostgreSQL MongoDB Scikit-learn Pandas NumPy Flask RESTful APIs

What you'll do

Design and implement advanced AI solutions tailored to client needs.
Conduct technical assessments and recommend optimal AI technologies.
Develop detailed project plans for AI solution delivery.
Ensure alignment between AI projects and business objectives.
Provide training and support on deployed AI systems.

What we're looking for

Minimum 7 years of experience in designing and implementing AI solutions.
Proven track record in leading complex AI projects from conception to delivery.
Strong expertise in machine learning frameworks such as TensorFlow and PyTorch.
Excellent understanding of cloud platforms like AWS, Azure, or GCP for AI deployment.
Experience with data engineering tools including Apache Spark and Hadoop ecosystems.
Ability to communicate technical concepts effectively to non-technical stakeholders.

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