Machine Learning & AI Engineer, Managing Consultant

IBM

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On-site
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Posted
46 days ago
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Confirmed live today

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Similar $222k
$163k $290k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $188,987–$254,750.

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 265 open roles on FindRole.

Listed pay typically runs $180,812–$217,000 across 11 roles with salary data.

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At a glance

TL;DR · Machine Learning & AI Engineer, Managing Consultant

As a Machine Learning & AI Engineer – Managing Consultant, you will own a workstream end-to-end by translating ambiguous business needs into concrete technical designs and plans. You are responsible for the quality and correctness of your workstream, making architectural decisions based on performance trade-offs while ensuring long-term maintainability through defined tests and validation checks. Your daily tasks involve designing AI-accelerated workflows, determining where to integrate modern LLM tooling, and mentoring junior engineers through code reviews and guidance. You will engage directly with business stakeholders to gather requirements and communicate actionable insights from machine learning initiatives. The role requires proficiency in choosing ML methods, interpreting data, and managing technical implementations to solve specific business problems while providing clear recommendations to stakeholders throughout the project lifecycle.

What you'll do

  • Translate ambiguous business needs into concrete technical designs and ML architectures.
  • Defend technical implementation choices based on performance and trade-offs.
  • Define tests, validation, and checks to ensure long-term maintainability and correctness.
  • Integrate AI and LLM tooling into workflows to produce repeatable results.
  • Mentor junior engineers by reviewing their work and removing technical blockers.
  • Gather requirements and report progress directly to business and domain stakeholders.
  • Communicate ML initiative results to stakeholders with actionable insights and recommendations.

What we're looking for

  • Own a workstream end-to-end by translating ambiguous business needs into concrete technical designs and plans.
  • Choose ML/AI methods and architectures while defending technical implementations based on performance and trade-offs.
  • Design for maintainability by defining tests, validation, and checks to ensure long-term correctness.
  • Design and set up AI-accelerated workflows using modern AI/LLM tooling for repeatable results.
  • Mentor and guide 1-2 junior engineers by reviewing their work and raising their performance bar.
  • Engage directly with business and domain stakeholders to gather requirements and report progress.
  • Interpret data and communicate actionable insights and recommendations regarding Machine Learning initiatives to stakeholders.

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