Senior AI Solution Architect

IBM

Remote

Quick summary

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

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Similar $208k

$159k most similar roles pay here $269k

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 Boston, you will join a dynamic team focused on delivering cutting-edge AI solutions to clients. Your primary responsibilities include designing and implementing scalable AI systems, collaborating with cross-functional teams to integrate advanced machine learning models into existing infrastructure, and providing technical leadership for complex projects. You will work extensively with Python, TensorFlow, and Kubernetes, leveraging cloud platforms like AWS or Azure. The role requires expertise in natural language processing, computer vision, and data engineering, as well as strong communication skills to bridge the gap between technical teams and business stakeholders. This position is ideal for someone passionate about solving real-world problems through innovative AI applications at a large scale.

Skills

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

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.
Expertise in machine learning frameworks such as TensorFlow or PyTorch.
Strong background in data science and analytics, including predictive modeling.
Excellent communication skills for client engagement and team leadership.
Experience with cloud platforms like AWS, Azure, or Google Cloud required.
Bachelor’s degree in Computer Science, Engineering, or a related field.

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