Machine Learning & AI Engineer – Managing Consultant

IBM; Dallas (TX); On-site; USD 140,000 - 180,000; Part time

Job summary

IBM Consulting in the United States seeks a Managing Consultant ML/AI Engineer to own an end-to-end workstream, turning ambiguous requirements into concrete designs and delivering with minimal guidance.

You will mentor junior engineers, design AI-accelerated workflows, engage business stakeholders, and ensure high-quality, scalable ML solutions that drive business impact.

This role can be performed from anywhere in the US.

Qualifications

• Fluent software engineering with maintainable, well-architected solutions.
• Experience delivering ML/AI projects from ambiguity to production.
• Ability to frame problems, weigh trade-offs, and decide.
• Plans and sequences workstreams, managing risks and delivery.
• Experience using AI tooling to accelerate team delivery.
• Mentoring or reviewing others' work.
• Ability to translate business requirements into technical approaches.

Responsibilities

• Own a workstream: turn ambiguity into concrete design and deliver with minimal guidance.
• Design for maintainability: set tests, validation checks, and long-term quality.
• Design AI-accelerated workflows: decide where AI/LLM tooling fits and set up repeatable processes.
• Mentor 1-2 junior engineers: review work, unblock, raise the bar.
• Engage stakeholders to gather requirements and report progress with clarity.
• Interpret data and communicate results: translate ML outcomes into actionable business insights.

Skills

Strong software engineering

End-to-end ML/AI delivery

Judgment under ambiguity

Detail & execution

Modern AI tooling

Emerging leadership

Communication & bridging business and

Education

Master's Degree

Job description

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

As a Managing Consultant ML/AI Engineer, you own a workstream end-to-end: taking an ambiguous ask, shaping it into a concrete design and plan, and delivering it with minimal guidance. You are responsible for the quality and correctness of everything in your workstream, and you begin to lift the engineers around you.

Your Primary Responsibilities Will Include

• Own a workstream: translate an ambiguous business need into a concrete technical approach, choose ML / AI methods and architecture, and defend technical implementation based on performance and trade-offs.
• Design for maintainability: make design decisions that hold up over time; define the tests, validation, and checks that keep your workstream correct as it evolves and guarantee quality.
• Design AI-accelerated workflows: decide where modern AI/LLM tooling fits (and where it doesn't) in your workstream, and set up those workflows for repeatable results.
• Mentor: guide 1-2 junior engineers - review their work, unblock them, raise their bar.
• Engage stakeholders: work directly with business/domain stakeholders to gather requirements and report progress.
• Interpret Data and Communicate Results: Clearly and effectively communicate the results of Machine Learning initiatives to stakeholders, providing actionable insights and recommendations.

This job can be performed from anywhere in the US.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Strong software engineering: designs maintainable, well-architected solutions; sets and enforces testing/validation for own scope; fluent with version control workflows and reviews.
• End-to-end ML/AI delivery: has independently taken ML/AI work from ambiguous problem to delivered solution, including method & algorithm selection and performance/validation.
• Judgment under ambiguity: frames problems, weighs trade-offs, and makes appropriate decisions.
• Detail & execution: plans and sequences a workstream; manages its risks and dependencies to on-time delivery.
• Modern AI tooling: effective, deliberate use of LLM/agentic tools to accelerate a team's work.
• Emerging leadership: experience mentoring or reviewing others' work.
• Communication & bridging business and technology: engages business/domain stakeholders directly; turns their requirements into a technical approach and explains trade-offs back in terms they understand.