Note: The job is a remote job and is open to candidates in USA. IBM is a global technology and consulting company helping clients advance their hybrid cloud and AI journeys. The Managing Consultant ML/AI Engineer owns ML/AI workstreams end-to-end, translating ambiguous business needs into technical solutions, delivering maintainable AI-accelerated workflows, mentoring junior engineers, and communicating results to stakeholders.
Responsibilities
- 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
Skills
- Bachelor's Degree
- 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
- Up to 80% or 4 days a week (home on weekends - based on project requirements)
- This job can be performed from anywhere in the US
- IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship
- Master's Degree
Benefits
- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- 401(k)
- Cash balance pension plan
- IBM Employee Stock Purchase Plan
- Financial counseling
- Life insurance
- Short & long-term disability coverage
- Opportunities for performance based salary incentive programs
- 12 paid holidays
- Minimum 56 hours sick time
- 120 hours vacation
- 12 weeks parental bonding leave in accordance with IBM Policy
- Other Paid Care Leave programs
- Paid family leave benefits to eligible employees where required by applicable law
- Training and educational resources on our personalized, AI-driven learning platform
- Industry-recognized certifications
- Diverse and inclusive employee resource groups
- Giving & volunteer opportunities
- Discounts on retail products, services & experiences
- Hybrid work arrangement
Company Overview