Associate Director, AI Application Engineer

KPMG LLP; Montvale (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

KPMG LLP is seeking an Associate Director, AI Application Engineer to lead AI-enabled applications within the Digital Nexus Technology organization. You will guide architecture, roadmap, and cross-team collaboration across Azure, Google Cloud, and enterprise systems.

Responsibilities include leading software engineers, implementing AI capabilities, and ensuring secure, scalable, and compliant deployments while mentoring teams and upholding professional standards.

Qualifications

• Eight+ years in technology with leadership experience.
• Experience delivering AI platforms and enterprise cloud solutions.
• Strong full-stack development with modern tech stack.

Responsibilities

• Lead engineering teams to design, deploy, and support AI-enabled apps.
• Define technical vision and roadmaps for AI solutions in cloud.
• Oversee architecture reviews and integration with Azure/Google Cloud.
• Advance platform engineering, pipelines, and MLOps best practices.
• Uphold security, governance, and SDLC compliance.

Skills

Team leadership

Full-stack development

Cloud engineering

C# .NET

Python

Azure cloud

Education

Bachelor's degree

Tools

Kubernetes AKS

Terraform

CI/CD pipelines

GitHub Actions

Infrastructure as Code

Job description

KPMG is currently seeking an Associate Director, AI ApplicationEngineer 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)