<p>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.</p>

<p>KPMG is currently seeking an AI Tech Lead to join our Audit Technology Alliance organization.</p><p>Responsibilities:</p><ul><li>Develop&nbsp;generative AI solutions, balancing hands-on full-stack development with technical mentorship and project oversight for a dedicated&nbsp;AI&nbsp;engineering team</li><li>Collaborate closely with product managers, audit subject matter experts, and&nbsp;AI architects&nbsp;to&nbsp;deliver technical solutions that align with expected business outcomes</li><li>Champion a culture of quality and innovation in our engineering teams;&nbsp;identify&nbsp;opportunities to continually improve our solutions&nbsp;and introduce modern AI methods</li><li>Drive quality SDLC processes with our AI engineering teams; deliver solutions on time to meet business cycle timelines</li><li>Drive the technical execution of the product roadmap, guiding the team in building and deploying features that advance our mission of transforming the audit through AI automation</li><li>Mentor and develop junior engineers, fostering technical excellence and professional growth while promoting best practices within our agile development process</li></ul><p>Qualifications:</p><ul><li>Minimum five years&nbsp;of recent professional experience in full-stack software development, with a proven&nbsp;track record&nbsp;of leading technical projects and mentoring engineering teams</li><li>Bachelor's degree from an accredited college or university is preferred;&nbsp;master’s degree from an accredited college or university in Computer Science, Engineering, a related technical discipline is desired</li><li>Expertise&nbsp;in building scalable applications on cloud infrastructure, specifically with Azure, Azure Kubernetes Service (AKS), KEDA, and asynchronous service bus architectures</li><li>Hands-on experience with AI frameworks such as&nbsp;LangChain/LangGraph&nbsp;or Semantic Kernel, and practical experience building and&nbsp;optimizing&nbsp;LLM-powered systems using models from Azure OpenAI or Google Cloud</li><li>Proficiency&nbsp;with Agile methodologies and SDLC best practices, including extensive experience with Azure DevOps, Git, and building and&nbsp;maintaining&nbsp;robust CI/CD pipelines</li><li>Exceptional problem-solving abilities and clear communication skills, with the capacity to articulate complex technical designs and decisions to both technical and business stakeholders(200TEC)</li></ul>

<div><div>KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached <a href="https://resources.kpmguscareers.com/EEO.pdf">link</a> contains further information regarding KPMG’s compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</div><div><br></div><div>KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.</div><div><br></div><div>Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</div></div>