Hyperscaler AI Lead

IBM

Remote

Quick summary

Work type
Remote
Location
Remote
Posted
74 days ago

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How this pay compares to similar roles

Similar $207k
$159k most similar roles pay here $255k

This listing doesn't post a salary. Most similar roles pay $168,717–$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 743 open roles on FindRole.

Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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At a glance

TL;DR · Hyperscaler AI Lead

As a Hyperscaler AI Lead in New York, you will join a dynamic team focused on driving client relationships and delivering cutting-edge AI solutions. Your role involves understanding clients' technical environments and business objectives to integrate AI models with their data sources and applications. You will lead complex AI programs, design scalable architectures using AWS, Microsoft Azure, and Google Cloud platforms, and guide the implementation of agentic workflows such as Amazon Bedrock and Azure AI Foundry. Key responsibilities include delivering proofs of concept, customer-facing demos, and production-grade implementations while also providing relevant training to technical practitioners. This position requires deep expertise in AI/ML, Generative AI, MLOps, and proficiency in Python along with familiarity with cloud infrastructure management tools.

What you'll do

  • Drive client relationships by identifying new business opportunities in cloud, data, and AI domains.
  • Deliver AI solutions by integrating models with customer data sources and APIs on AWS, Azure, or Google Cloud.
  • Lead complex AI programs to accelerate customer adoption of AI/ML services across hyperscaler platforms.
  • Design scalable AI architectures using Python and relevant frameworks for production-grade implementations.
  • Build autonomous agentic AI workflows using Amazon Bedrock, Azure AI Foundry, and Google Vertex AI.
  • Train technical practitioners on AI technologies tailored to their varying levels of expertise.

What we're looking for

  • Proven experience delivering AI solutions and integrating models with customer data sources.
  • Deep technical expertise in leading complex AI programs on AWS, Microsoft, and Google platforms.
  • Strong proficiency in cloud infrastructure management and migration across major hyperscalers.
  • Experience designing scalable AI/ML architectures using Python and relevant frameworks.
  • Leadership in building agentic workflows and driving adoption of advanced AI tools.
  • Expertise in evaluating and selecting hyperscaler tools to align with client business objectives.
  • Extensive experience in complex AI sales and opportunity capture activities.

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