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.

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

As a Machine Learning & AI Engineer – Managing Consultant within IBM Consulting, you will own end-to-end workstreams to solve complex business problems. You will translate ambiguous requirements into concrete technical designs, selecting specific ML methods and architectures while defending implementation trade-offs. Your daily responsibilities include designing maintainable solutions, establishing validation tests, and building AI-accelerated workflows using modern LLM and agentic tools. You will mentor junior engineers, manage project risks, and communicate actionable insights directly to business stakeholders. The role requires strong software engineering skills, including version control and testing, alongside expertise in end-to-end ML delivery. You must demonstrate judgment under ambiguity to navigate technical challenges and deliver high-quality results that bridge the gap between complex technology and practical business needs.

What you'll do

  • Translate ambiguous business needs into concrete technical approaches and ML/AI architectures.
  • Own a workstream end-to-end by managing risks, dependencies, and on-time delivery.
  • Design maintainable solutions with defined tests, validations, and quality checks.
  • Integrate modern AI and LLM tooling into workflows to achieve repeatable results.
  • Mentor junior engineers by reviewing their work and helping them overcome technical blockers.
  • Engage directly with business stakeholders to gather requirements and report progress.
  • Communicate machine learning results to stakeholders as actionable insights and recommendations.

What we're looking for

  • Master's Degree (preferred)
  • Strong software engineering skills to design maintainable solutions and manage version control workflows.
  • Experience in end-to-end ML/AI delivery from ambiguous problems to delivered solutions.
  • Ability to use modern AI tooling and LLM/agentic tools to accelerate team work.
  • Experience mentoring or reviewing the work of other engineers.
  • Ability to communicate technical trade-offs and results to business stakeholders.

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