OneMain Financial Jobs

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 Technical Developer, Forward Deployed Engineering to join our AI & Data Labs practice. Responsibilities: Collaborate with a pod of elite, AI-native full-stack engineers with a bias to action to rapidly build and deploy end-to-end AI systems, covering the full arc from problem framing to MVP to deployed workflow; build out the end-to-end technical vision and architecture for the team's solutions, understanding that a running system beats the cleanest architecture diagram 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 Collaborate and perpetuate a culture of high talent density where every member raises the bar to deliver quality at speed Participate in working sessions and facilitate collaboration across client 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 Drive delivery in a fast-paced, outcome-accountable environment, operating in 2-to-6-week cycles with direct client feedback; earn client trust, manage risks, surface constraints early, and ensure every deliverable is ready for scale or run in production; champion the use of modern development accelerators such as Claude Code, Lovable, Cursor, and others where policy permits, to increase capacity of delivery, increase quality, and deliver faster Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum seven 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 in a science or engineering field preferred 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 to thrive in ambiguous environments; this includes the presence to lead working sessions and drive decisions with impatient executives and skeptical engineers, a hands-on, accountable style that earns trust by "coaching while building", and the ability to communicate clearly and effectively to diverse audiences (CIO, CISO, CFO, engineers) Candidates must be prepared to demonstrate their experience with real work via a portfolio, a GitHub repository, or a structured walk-through of a system they have designed and shipped Domestic and global travel may be required Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor ap