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Director/Sr. Director, Forward Deployed Engineering

KPMG

Cincinnati, OHJobSeen 3 days agoSeen in employer's feed 3 days ago

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At a glance

Compensation
No compensation found
Location
Cincinnati, OH
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

KPMG is seeking a Director or Senior Director to lead forward-deployed engineering teams in its AI & Data Labs practice. The role owns technical vision and delivery of end-to-end AI systems, from problem framing through production deployment, while setting enterprise production standards and mentoring engineers. It also involves close collaboration with stakeholders and leadership to deliver measurable outcomes and shape the broader program strategy.

Skills & qualifications

RequiredNice to have

Skills

Production Software SystemsDataMachine LearningAI ApplicationsCloud PlatformsTeam LeadershipTeam ManagementMentoringStakeholder CollaborationAI TechnologiesAI MethodologiesAI Systems JudgmentContext EngineeringEvaluation DisciplineFull-Stack DevelopmentModel StrategyProblem-SolvingCollaborationCommunication

Qualifications

10+ Years Production Systems ExperienceBachelor's Degree5+ Years Leadership and Individual Contributor Experience

Full job description

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Director/Sr. Director, Forward Deployed Engineering to join our AI & Data Labs practice. Responsibilities: - Lead a pod of elite, AI-native full-stack engineers with a bias to action to rapidly build and deploy end-to-end AI systems, owning the full arc from problem framing to MVP to deployed workflow; define and own the end-to-end technical vision and architecture for the team's solutions, understanding that a running system beats the cleanest architecture diagram; provide input with leadership into broader FDE program strategy - Champion production discipline for enterprise by establishing and enforcing best practices in context engineering, evaluation, and operational readiness; mandate rigorous testing, including golden sets, regression harnesses, and red-teaming, and set the standard for secure, observable, and auditable code - Drive delivery in a fast-paced, outcome-accountable environment, operating in two-to-six-week cycles with direct user and stakeholder feedback; guide working sessions, build trust by transparently communicating risks and progress, manage risks, surface constraints early, and ensure every deliverable is ready for scale or run in production - Provide hands-on leadership and mentorship to a team of engineers, coaching them through complex challenges while actively contributing to the build; foster a culture of high talent density where every member raises the bar and enable them to deliver quality at speed - Lead working sessions and facilitate collaboration across stakeholders (from engineers to the C-suite) and cross-functional teams to design creative AI systems where success is measured by tangible, quantified outcomes and effective adoption - Advocate for the use of modern development accelerators (Claude Code, Lovable, Cursor, and more) where policy permits, to increase capacity of delivery, increase quality, and deliver faster - Act with integrity and professionalism to uphold KPMG's respectful and courteous work environment Additional Responsibility for Senior Director: Oversee and mentor high-performing technical teams; execute role with the required experience and passion for working directly with stakeholders to make an outsized impact Qualifications: Minimum ten years of recent experience shipping end-to-end production secure software systems, with a focus on data, machine learning, and AI-native applications; solid experience with cloud platforms (Azure, GCP, or AWS) Bachelor's degree from an accredited college or university is required Proven ability to lead, manage, and mentor high-performing technical teams, with at least five years of experience in a combination leadership and individual contributor role; experience and passion for working directly with stakeholders to make an outsized impact Deep, hands-on knowledge of modern AI technologies and methodologies with demonstrated experience leading teams in designing and implementing advanced AI systems; this includes AI systems judgment, context engineering, evaluation discipline, full-stack capabilities, model strategy fluency Excellent problem-solving, collaboration, and communication skills with the ability

How this job compares

Set against the 1,047 open AI Engineering jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This postingNot listed
  • Ohio median$123–241K/yr38 salary ranges
  • US median$26–46/hr35 hourly ranges
Openings
Olive Jobs lists 52 open AI Engineering jobs in Ohio and 1,047 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in Ohio
Experience
This posting asks for at least 10 years of experience; AI Engineering postings that state a minimum ask for 8 years at the median (937 postings).
Education
This posting asks for a bachelor's degree; 411 of the 1,047 open AI Engineering jobs (39%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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