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Director, Forward Deployed Engineer

KPMG

ALBANY, NYJobSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
ALBANY, NY
Work Authorization
Not specified

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

Job overview

KPMG is seeking a Director, Forward Deployed Engineer for its Clients, Technology & Innovation organization. The role combines hands-on production engineering with technical leadership, team mentoring, executive engagement, and architecture of AI and data pipelines. The director will scale engineering delivery and reusable assets while maintaining secure, auditable production standards. Domestic travel may be needed.

Skills & qualifications

RequiredNice to have

Skills

Cloud EngineeringProduction Data ApplicationsMachine Learning ApplicationsAI ApplicationsFrontier ModelsAgent FrameworksModel Context ProtocolDeveloper Productivity ToolsPythonGoRustJavaStructured EvaluationModel StrategyStorytellingProduct OwnershipTeam LeadershipMentoringExecutive Communication

Qualifications

10+ Years Production Experience5+ Years Engineering LeadershipBachelor's in STEM or 12 Years Equivalent ExperienceVerifiable Shipped Work Portfolio

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, Forward Deployed Engineer to join our Clients, Technology & Innovation (CT&I) organization.Responsibilities: * Partner with leadership to define technical standards and scale engineering delivery across EdgeCos, account teams, and industry teams * Write and ship production-ready code daily while taking direct ownership of the most complex, high-priority production challenges * Expand the library of reusable assets, tools, and accelerators, championing modern developer tools like Claude Code, Cursor, and Lovable where permitted * Champion rigorous enterprise production standards, including context engineering, golden sets, evaluation frameworks, regression harnesses, and secure, auditable code * Direct executive working sessions with key leaders (CIOs, CISOs, CFOs) and engineers, building trust through transparent risk and progress communication * Mentor Managers, Senior Associates, and pod leads, directly coaching team members while actively building to scale overall talent density and quality * Architect production pipelines that route data dynamically between stochastic Large Language Models (LLMs) for generative tasks and Type 1 models (e.g., Jev) for low-latency, deterministic, rules-based operations * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environmentQualifications: * Minimum ten years of recent, hands-on experience building, hardening, and operating secure, end-to-end production data, ML, and AI-native applications across Azure, AWS, or Google Cloud (GCP). * Minimum five years of experience leading and mentoring high-performing engineering teams in a startup-velocity environment; founder or early-stage startup experience is a strong plus * Bachelor's degree from an accredited college/university in a STEM field or twelve years of equivalent practical experience * Deep practical knowledge of frontier models, agent frameworks, Model Context Protocol, and developer productivity tools (e.g., Claude Code, Cursor, Lovable) * Full-stack capability with deep expertise in modern production languages (Python, Go, Rust, or Java) alongside structured evaluation discipline and model strategy * Exceptional storytelling ability to communicate complex concepts to CIOs, CISOs, CFOs, and skeptical engineers alike, combined with a strong bias toward owning product outcomes * Verifiable portfolio, GitHub repository, or code walk-through demonstrating shipped work * Ability to travel domestically as neededKPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG LLP is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Depending on job classification, standard work hours, and

How this job compares

Set against the 1,665 open Engineering Leadership jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This postingNot listed
  • New York median$200–290K/yr96 salary ranges
Openings
Olive Jobs lists 130 open Engineering Leadership jobs in New York and 1,665 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 10 years of experience; Engineering Leadership postings that state a minimum ask for 10 years at the median (1,404 postings).
Education
609 of the 1,665 open Engineering Leadership jobs (37%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 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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