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.

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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

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As a Senior Hyperscaler AI Lead in Chicago, you will join a dynamic team focused on driving client relationships and delivering cutting-edge AI solutions. Your daily responsibilities include working closely with clients to understand their technical environments and business goals, integrating AI models with customer data sources, APIs, and infrastructure, and delivering production-grade implementations. You will leverage your expertise in AWS, Microsoft, and Google cloud platforms to design scalable AI architectures and guide the implementation of complex AI programs. Key skills required are deep knowledge of AI/ML, Generative AI, Agentic AI, MLOps, and proficiency in Python along with relevant frameworks. Additionally, you will lead large opportunity capture activities for AI-centric programs and deliver training to technical practitioners across various levels. This role demands a strong background in cloud infrastructure and migration, as well as experience building AI architectures tailored to specific client sectors.

Skills

AWS Microsoft Azure Google Cloud Platform Python AI/ML Generative AI Agentic AI MLOps Amazon Bedrock Azure AI Foundry Google Vertex AI CI/CD Docker Kubernetes Terraform PostgreSQL Snowflake Salesforce Prometheus Grafana

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 agentic workflows using Amazon Bedrock, Azure AI Foundry, and Google Vertex AI tools.
Train AI practitioners on technical expertise relevant to varying levels of experience.

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 knowledge of AI/ML, Generative AI, Agentic AI, MLOps, and proficiency in Python frameworks.
Experience building autonomous agentic AI workflows using Amazon Bedrock, Azure AI Foundry, and Google Vertex AI.
Strong background in evaluating and selecting hyperscaler tools to align with business objectives.

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