This is a remote position open to applicants authorized to work for any employer within the United States.
What You'll Do
Enterprise Tool Rollout (Near Term)
Support the technical rollout of our enterprise AI tools: onboarding, integrations, access issues, and the practical problems that come up as teams start using it.
Build early proof of concepts with pilot teams that show what the tool can do for their specific workflows.
Partner with other functions like cybersecurity, legal, data ethics and training on the rollout so the technical details don't become adoption blockers.
Workflow Reimagination & Forward Deployment (Ongoing)
Embed with business teams to understand their workflows in depth, and identify where AI can change how the work gets done, not just speed up one step in an old process.
Design and build proof of concepts that show a team a genuinely new way of working, then help them carry it into everyday use.
Identify and enable foundational capabilities like connectors and any other integrations.
Turn what works into repeatable patterns: reusable prompt libraries, skills, plugins, workflow templates, integration recipes, and reference builds that other teams can pick up without needing a dedicated engineer.
Feed what you learn from the field back into company-wide best practices, training, and governance, in partnership with the rest of the AI Enablement team.
Teach and transfer knowledge, not just solutions: help teams build enough AI fluency to extend and adapt what you've built themselves.
Scout new AI tools and capabilities as they become available within the company, and form a clear point of view on what's worth enabling and where.
Guide teams toward optimal, cost-efficient use of enterprise AI tools: right-sized models, well-scoped prompts, and workflows that get strong results without wasting spend.
Who You Are
An expert-level practitioner of enterprise AI tools like M365 Copilot and Claude: you know these tools inside and out, push them well past basic use cases, and can teach others how to do the same.
A real engineering background: you can prototype, script, and build integrations yourself, not just advise on what's technically possible.
A product mindset: you default to designing and building for reuse and self-service rather than one-off solutions for a single team.
Comfortable embedding with a business team long enough to deeply understand their workflow, but disciplined about generalizing what you build so it outlives that one engagement.
Strong proof-of-concept instincts: you'd rather get something real in front of users quickly than over-engineer before you know it's worth building.
Curious and fast-moving with new AI tools and capabilities, comfortable evaluating and adopting new ones as the landscape shifts.
A strong communicator who can sit with a non-technical business team and guide them through rethinking how they work.
What You'll Learn & How You'll Grow
Deep, hands-on exposure to how a wide range of business workflows actually work across the company, and practice redesigning them around AI.
Practical expertise in building reusable AI patterns, accelerators, and evaluation approaches that scale beyond a single engagement.
Experience as a forward deployed engineer, a skill set that combines technical depth with business fluency and is in high demand.
The chance to help shape the technical patterns and playbook that the entire AI Enablement function relies on as it grows.
What Success Looks Like
Business teams have genuinely reimagined workflows using AI, not just automated a step of their old process.
A growing library of reusable AI enablement patterns and proof of concepts is adopted across the company, reducing the need for one-off engineering support.
The enterprise AI tool rollout lands smoothly, and the technical foundation is in place for the broader, longer-term AI enablement mandate.
Why work for us?
The work you do at McGraw Hill will be work that matters. We are collectively building experiences that will help shape the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.
The pay range for this position is between $110,000 - $140,000 annually, however, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings.
McGraw Hill recruiters always use a “@mheducation.com” email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email.
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