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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TL;DR · Hyperscaler AI Lead

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As a Hyperscaler AI Lead in Dallas, you will join a high-impact team focused on driving client relationships and delivering advanced AI solutions. Your role involves working closely with clients to understand their technical environments and business goals, integrating AI models with data sources and APIs, and implementing scalable architectures using AWS, Microsoft Azure, and Google Cloud platforms. You will lead complex AI programs, accelerate customer adoption of AI/ML services, and build autonomous agentic AI workflows leveraging tools like Amazon Bedrock, Azure AI Foundry, and Google Vertex AI. Proficiency in Python and relevant frameworks is essential, along with experience in MLOps and generative AI technologies. This role requires deep expertise in cloud infrastructure and a proven track record of delivering successful AI projects across various industries.

Skills

AWS Microsoft Azure Google Cloud Platform Python Amazon Bedrock Azure AI Foundry Google Vertex AI MLOps CI/CD Generative AI LLMs RAG Agentic AI Docker Kubernetes PostgreSQL Redis MongoDB Terraform

What you'll do

Drive the development and sales of differentiated cloud solutions for clients.
Deliver AI solutions by integrating models with customer data sources and APIs.
Lead complex AI programs to accelerate customer adoption on hyperscaler platforms.
Design scalable AI architectures using AWS, Microsoft, and Google services.
Build autonomous agentic AI workflows using Amazon Bedrock and Azure AI Foundry.
Evaluate and select hyperscaler tools that align with specific client business objectives.

What we're looking for

Extensive experience in delivering AI solutions and integrating models with customer data sources.
Proven track record of leading complex AI programs on AWS, Microsoft, and Google platforms.
Deep technical expertise in AI/ML, Generative AI, Agentic AI, and MLOps using Python frameworks.
Strong proficiency in cloud infrastructure management across major hyperscalers (AWS, Azure, GCP).
Experience building agentic workflows with Amazon Bedrock, Azure AI Foundry, and Google Vertex AI.

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