Consultant - AI Engineer

IBM

Quick summary

Work type
On-site
Location
Denver, CO
Posted
18 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 $168,262–$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 · Consultant - AI Engineer

As a Senior Data Engineer specializing in Snowflake at this leading consultancy firm based in Denver, you will play a pivotal role in building and enhancing Snowflake platforms for clients' data and AI use cases. Your day-to-day responsibilities include implementing complex data and AI solutions on Snowflake to ensure seamless integration and optimal performance. You will leverage your deep expertise in SAP and SAP AI, along with your knowledge of cloud computing concepts and technologies, to deliver high-quality technical solutions that meet evolving client needs. This role requires advanced skills in data engineering principles, experience with Snowflake platforms, and a strong understanding of how cloud computing integrates with these systems to optimize performance for large-scale enterprise applications.

What you'll do

  • Implement data and AI use cases on Snowflake platforms for seamless integration.
  • Build and enhance Snowflake platforms to meet evolving client needs.
  • Leverage expertise in Snowflake, data engineering, and cloud computing for high-quality solutions.
  • Apply deep knowledge of SAP and SAP AI to deliver advanced technical solutions.
  • Optimize solutions on Snowflake platforms for optimal performance and efficiency.

What we're looking for

  • Deep expertise in SAP and SAP AI.
  • Extensive experience with Snowflake platforms for building and enhancing Data and AI use cases.
  • Strong background in data engineering principles and practices on Snowflake.
  • Proficient in cloud computing concepts and technologies integrated with Snowflake.
  • Proven ability to implement and optimize data and AI use cases on Snowflake platforms.
  • Technical expertise in delivering high-quality solutions that meet client needs.

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