
Senior Associate, Forward Deployed Engineer
Cincinnati, OHJobSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
KPMG is seeking a Senior Associate, Forward Deployed Engineer to build and deploy AI-native systems for enterprise clients. The role spans full-stack engineering, distributed systems, model workflows, and client discovery, with work refined through short sprint cycles and user feedback. The engineer will own a workstream’s architecture and operational qualities, contribute to shared engineering practices, and communicate technical concepts through working software and demonstrations.
Skills & qualifications
Skills
Qualifications
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 Senior Associate, Forward Deployed Engineer to join our Clients, Technology & Innovation (CT&I) organization. Responsibilities: - Design, build, and ship full-stack AI-native systems, including user interfaces, APIs, data pipelines, and foundation model integrations, taking concepts rapidly from MVP to hardened production software - Own the architecture, security, scalability, and resilience of your workstream to ensure mission-critical systems operate seamlessly under live enterprise workloads - Execute within fast-paced two-to-six-week sprint cycles, iteratively refining solutions based on direct user and client feedback while surfacing technical constraints early - Implement robust evaluation disciplines and harness tooling across model workflows, capturing learnings into modular, reusable components for broader team adoption - Actively participate in client working sessions and discovery efforts, communicating technical concepts clearly and presenting working software through live demos and compelling narratives - Pair closely with fellow engineers to elevate engineering standards through disciplined code reviews, automated testing, comprehensive documentation, and shared best practices - Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: - Minimum four years of recent, hands-on experience shipping secure, full-stack production software focused on data, ML, and AI-native applications (proficiency in modern languages such as Python, Go, Rust, or Java) - Bachelor's degree from an accredited college/university in a STEM field or five years relevant practical experience - Proven track record hardening, scaling, and operating distributed systems within major cloud environments (Azure, AWS, or Google Cloud (GCP)), with hands-on experience in enterprise-grade deployments - Deep technical familiarity with frontier LLMs, modern AI coding harnesses (e.g., Claude Code, Cursor), agent frameworks, and integration protocols (e.g., Model Context Protocol or tool-use standards) - Demonstrated expertise across the end-to-end model loop, including context engineering, prompt optimization, automated evaluation tooling, and strategic model selection - Entrepreneurial drive and comfort with ambiguity, characterized by strong technical leadership, a bias for shipping, and a history of owning outcomes (early-stage startup or founder experience is a strong plus - Strong stakeholder-facing presence with the ability to translate complex architectures to diverse audiences - A portfolio, GitHub repository, or code walk-through demonstrating shipped work is a plus - Ability to travel domestically as needed KPMG 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 cons
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