Job description

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 LangChain/LangGraph 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 DevOps, 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(200TEC)

Requirements

Must-haves

KPMG is currently seeking an AI Tech Lead to join our Audit Technology Alliance organization.
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
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
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 LangChain/LangGraph 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 DevOps, 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(200TEC)

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagileazurekubernetesllmci/cd

Platform: avature
Effort: medium