AI Tech Lead- Manager

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, Fair
360 and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking an AI Tech Lead to join our Audit Technology Alliance organization.

Responsibilities:

Develop generative AI solutions, balancing hands-on full-stack development with technical mentorship and project oversight for a dedicated AI engineering team Collaborate closely with product managers, audit subject matter experts, and AI architects to deliver technical solutions that align with expected business outcomes

Champion a culture of quality and innovation in our engineering teams; identify opportunities to continually improve our solutions and introduce modern AI methods

Drive quality SDLC processes with our AI engineering teams; deliver solutions on time to meet business cycle timelines

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

Mentor and develop junior engineers, fostering technical excellence and professional growth while promoting best practices within our agile development process

Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:

Minimum five years of recent professional experience in full-stack software development, with a proven track record of leading technical projects and mentoring engineering teams

Bachelor's degree from an accredited college or university is preferred; master's degree from an accredited college or university in Computer Science, Engineering, a related technical discipline is desired

Expertise in building scalable applications on cloud infrastructure, specifically with Azure, Azure Kubernetes Service (AKS), KEDA, and asynchronous service bus architectures

Hands-on experience with AI frameworks such as Lang Chain/Lang Graph or Semantic Kernel, and practical experience building and optimizing LLM-powered systems using models from Azure OpenAI or Google Cloud Proficiency with Agile methodologies and SDLC best practices, including extensive experience with Azure Dev Ops, Git, and building and maintaining robust CI/CD pipelines

Exceptional problem-solving abilities and clear communication skills, with the capacity to articulate complex technical designs and decisions to both technical and business stakeholders(200

TEC)
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 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 years of service, KPMG LLP…