Job description

KPMG is currently seeking an AI Engineer to join our Audit Technology Alliance organization. Responsibilities: • Develop and implement core components of generative AI solutions; build robust, scalable features aligned with business requirements • Collaborate with senior engineers and product managers to understand feature requirements and contribute to the technical design of AI agents and orchestration patterns • Ensure code quality and reliability by writing unit tests, participating in code reviews, and utilizing enhanced evaluation frameworks • Drive product advancements by developing RAG pipelines, context engineering modules, and integrations with services like Azure AI Search and Databricks • Deploy and maintain AI microservices by optimizing performance and scalability that meets high standards • Engage in agile development processes including daily stand-ups, sprint planning, and retrospectives • Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment Qualifications: • Minimum three years of recent experience in software engineering with demonstrated success in building and deploying AI or data-intensive applications • Master’s degree from an accredited college or university in computer science, engineering, artificial intelligence, or a related technical field is preferred; minimum of a Bachelor’s degree is required • Strong programming skills in Python; experienced with AI/ML frameworks such as LangChain, LlamaIndex, or Semantic Kernel • Skilled within an agile environment using SDLC tools like Azure DevOps, Git, and CI/CD pipelines for automated builds and deployments • Knowledgeable in cloud platforms, preferably Azure; familiar with containerization technologies like Docker and Kubernetes • Excellent analytical and problem-solving skills; able to communicate technical ideas clearly and collaborate effectively within a team(200TEC) • 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 applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

Requirements

Must-haves

KPMG is currently seeking an AI Engineer to join our Audit Technology Alliance organization.
Develop and implement core components of generative AI solutions; build robust, scalable features aligned with business requirements
Collaborate with senior engineers and product managers to understand feature requirements and contribute to the technical design of AI agents and orchestration patterns
Ensure code quality and reliability by writing unit tests, participating in code reviews, and utilizing enhanced evaluation frameworks
Drive product advancements by developing RAG pipelines, context engineering modules, and integrations with services like Azure AI Search and Databricks
Deploy and maintain AI microservices by optimizing performance and scalability that meets high standards
Engage in agile development processes including daily stand-ups, sprint planning, and retrospectives
Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment
Minimum three years of recent experience in software engineering with demonstrated success in building and deploying AI or data-intensive applications
Strong programming skills in Python; experienced with AI/ML frameworks such as LangChain, LlamaIndex, or Semantic Kernel
Skilled within an agile environment using SDLC tools like Azure DevOps, Git, and CI/CD pipelines for automated builds and deployments
Knowledgeable in cloud platforms, preferably Azure; familiar with containerization technologies like Docker and Kubernetes
Excellent analytical and problem-solving skills; able to communicate technical ideas clearly and collaborate effectively within a team(200TEC)

Nice-to-haves

Master’s degree from an accredited college or university in computer science, engineering, artificial intelligence, or a related technical field is preferred; minimum of a Bachelor’s degree is required

Application prep

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

Keywords to mirror

aiazureagilepythonmlci/cddockerkubernetes

Platform: avature
Effort: medium