Associate Director, AI Application Engineer

KPMG

$135K — $160K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Minimum eight years of relevant technology experience, with at least five years in leadership roles overseeing engineering teams.
  • Bachelor's degree preferred; high school diploma or GED required.
  • Experience in designing and operating AI-enabled applications and cloud solutions with Azure AI or Google AI services.
  • Strong full-stack development skills with technologies including C#, .NET, JavaScript, TypeScript, React.js, and Node.js.
  • Expertise in cloud engineering, particularly with Azure AI services, Kubernetes, and DevOps practices.
  • Excellent communication and stakeholder management skills for presenting to various audiences.
  • Authorized to work in the U.S. without requiring visa sponsorship.

Responsibilities

  • Lead a team in creating and supporting AI-enabled applications and platforms using various technologies.
  • Define the technical vision and architecture for AI solutions, ensuring integration with multiple systems.
  • Design and implement advanced AI capabilities like agent orchestration and retrieval-augmented generation.
  • Oversee platform engineering efforts, focusing on Kubernetes and CI/CD pipelines.
  • Establish engineering standards, security protocols, and governance practices.
  • Research new technologies and recommend innovative architecture to stakeholders.
  • Promote integrity and professionalism within the workplace.

Benefits

  • Comprehensive medical and dental plans, including vision coverage.
  • Disability and life insurance options.
  • 401(k) plans with employer contributions.
  • Robust personal well-being benefits targeting mental health support.
  • Personal Time Off based on job classification and years of service.
  • Set holiday calendar and additional breaks without needing Personal Time Off.
Full Job Description
KPMG is currently seeking an Associate Director, AI Application Engineer to join our Digital Nexus Technology organization.

Responsibilities:
  • Lead a team of engineers in the design, development, deployment, and support of AI-enabled applications and platform capabilities using .NET Core, C#, Python, and modern cloud-native technologies
  • Define technical vision, architecture, and roadmaps for AI solutions, driving delivery, solution design, reviews, and integration with Azure, Google Cloud, enterprise platforms, APIs, and external systems
  • Design and implement advanced AI capabilities, including agent orchestration, enterprise search, retrieval-augmented generation (RAG), model integration, reusable AI services, and agent-to-agent (A2A) and Model Context Protocol (MCP) interactions
  • Lead platform engineering and cloud infrastructure initiatives utilizing Kubernetes (AKS), API Management, Terraform, CI/CD pipelines, GitHub Actions, Infrastructure-as-Code, and DevOps/MLOps best practices
  • Establish engineering standards and governance through code reviews, automated testing, SDLC compliance, security, privacy, risk, identity management, Trusted AI principles, and enterprise architecture controls
  • Research emerging technologies, recommend innovative solution architectures, present technical strategies to diverse stakeholders, and lead operational support, troubleshooting, performance optimization, and continuous improvement initiatives while fostering a culture of professionalism and accountability
  • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment.

Qualifications:
  • Minimum eight years of recent technology experience, including a minimum of five years leading engineering teams and at least two years delivering AI platforms and solutions that drive measurable business outcomes
  • Bachelor's degree from an accredited college or university is preferred; high school diploma or GED required
  • Experience designing, building, and operating AI-enabled applications, agent-based systems, and enterprise-scale cloud solutions using Azure AI, Google AI services, or comparable cloud-based AI technologies
  • Strong full-stack development experience with modern technologies including C#, .NET, JavaScript, TypeScript, React.js, Node.js, HTML, and CSS
  • Deep expertise in cloud engineering, including Azure AI services, Kubernetes (AKS), API development, DevOps practices, CI/CD pipelines, Infrastructure-as-Code, and Terraform; proficiency in automation, scripting, and testing using Python, PowerShell, Bash, YAML, and related development and operational tools
  • Excellent communication and stakeholder management skills, with the ability to present architecture decisions, technical strategies, and solution recommendations to executive, business, and technical audiences
  • 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)

KPMG LLP and its 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 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. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .

Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=6690_9_26

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.

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