Senior AI Architect - Enterprise Integrations

IBM

Remote

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Work type
Remote
Location
Remote
Posted
13 days ago

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Similar $207k
$154k most similar roles pay here $273k

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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

As a Senior AI Architect in the Enterprise Integrations team based in Austin, TX, you will lead the technical direction and implementation of advanced AI solutions for large-scale enterprise clients. Your day-to-day responsibilities include designing scalable machine learning models, integrating AI technologies with existing systems, and collaborating closely with cross-functional teams to solve complex business problems. You will leverage cutting-edge tools such as TensorFlow and PyTorch, work extensively in Python, and ensure the robustness of your solutions through rigorous testing and deployment practices. This role requires deep expertise in natural language processing, computer vision, and a solid understanding of cloud platforms like AWS or Azure, making it ideal for someone passionate about driving innovation at enterprise scale.

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 provide guidance on AI projects.
  • Stay updated with the latest advancements in AI technologies.

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.
  • Strong expertise in machine learning frameworks such as TensorFlow or PyTorch.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud for AI deployments.
  • Excellent understanding of data engineering principles and big data technologies.
  • Ability to integrate AI solutions with existing enterprise systems and APIs.
  • Solid background in software development lifecycle and agile methodologies.

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