Senior Managing Consultant, ML/AI Engineer

IBM

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2 days ago
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How this pay compares to similar roles

Similar $219k
$170k most similar roles pay here $272k

This listing doesn't post a salary. Most similar roles pay $184,206–$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 455 open roles on FindRole.

Listed pay typically runs $175,656–$211,800 across 7 roles with salary data.

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TL;DR · Senior Managing Consultant, ML/AI Engineer

As an ML/AI Engineer – Senior Managing Consultant within IBM Consulting, you will serve as a hands-on technical driver responsible for building high-risk components of machine learning solutions. You will translate ambiguous business needs into actionable technical requirements, designing and implementing systems that utilize specific features and algorithms to solve complex problems. Your daily work involves leading a small team of two to four people, setting rigorous standards for code quality, testing, and reproducibility while actively contributing to the codebase. The role requires expertise in advanced ML/AI methods, agentic AI, modern LLMs, prompt engineering, and MLOps infrastructure. You will act as the primary bridge between stakeholders and engineering teams, ensuring that machine learning insights are integrated into business decision-making processes through clear communication of results and technical risk management.

What you'll do

  • Translate ambiguous business needs into defined Machine Learning and AI solutions.
  • Design and implement systems, models, and features to solve complex business problems.
  • Establish and maintain high standards for code quality, testing, and reproducibility.
  • Act as the primary technical point of contact to communicate progress and results to stakeholders.
  • Lead a small team by assigning work, unblocking members, and mentoring them through active building.
  • Own the project delivery by managing planning, sequencing, and technical risks.
  • Develop scalable MLOps infrastructure and integrate advanced LLM technologies into production.

What we're looking for

  • Master's Degree (preferred).
  • Deep software engineering discipline including standards for testing, validation, and reproducibility.
  • Technical leadership of a small team while remaining a primary builder.
  • Ownership of solution delivery through planning, sequencing, and managing technical risk.
  • Advanced knowledge of ML/AI methods and modern LLM/agentic approaches.
  • Ability to bridge business and technology by translating complex needs into actionable technical solutions.
  • Experience with MLOps infrastructure and enterprise integration.

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