Associate, AI Engineer

About the Role

KPMG Advisory practice is seeking an Associate, AI Engineer for its Consulting practice.

Key Responsibilities

• Lead the design and implementation of Google Cloud Platform (GCP) infrastructure using Terraform.
• Demonstrate expertise in GCP networking, including network design standards and NCC hub-and-spoke architectures.
• Architect and manage secure, reliable hybrid cloud integrations between on-premises environments and GCP.
• Design, build, and support scalable data platforms on GCP, leveraging services such as BigQuery, Dataflow, Dataproc, and Pub/Sub.
• Enable Generative AI initiatives by supporting development teams in the use of GCP AI/ML services, with a focus on Vertex AI for model development, training, and deployment.
• Implement and maintain robust security controls and compliance policies across the GCP environment, with a strong understanding of IAM/RBAC and industry regulatory standards.
• Design and build automated CI/CD pipelines for provisioning and managing GCP resources using tools such as Jenkins, GitLab CI, or Google Cloud Build.
• Implement comprehensive monitoring, logging, and operational tooling for platform reliability, performance, and cost optimization.
• Provide technical leadership and mentorship to junior team members.

Requirements & Tech Stack

• Google Cloud Platform (GCP)
• Terraform
• GCP networking
• NCC hub-and-spoke architectures
• Hybrid cloud integrations
• BigQuery, Dataflow, Dataproc, Pub/Sub
• Generative AI
• GCP AI/ML services
• Vertex AI
• Security controls
• IAM/RBAC
• CI/CD pipelines
• Jenkins, GitLab CI, Google Cloud Build
• Monitoring, logging, operational tooling
• Unix/Linux environments
• GIT, SVN

Qualifications

• Minimum one year of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience.
• Bachelor's degree from an accredited college/university.
• Experience in designing cloud architectures and implementing production infrastructures and applications in one or more of the following cloud environments/technologies:
• GCP using infrastructure as code approach.
• Developing data and analytics platforms and applications on cloud (a plus).
• Cloud-native container technologies such as Kubernetes, OpenShift, or Docker (a plus).
• Terraform, Ansible, Chef, and Puppet (preferred).
• Basic software development skills/experience; scripting experience is preferred.
• Proficiency in Unix/Linux environments and ability to develop in terminal environments.
• Experience with source code management systems like GIT and SVN.
• Ability to communicate technical concepts to non-technical team members.
• Strong understanding of networking, identity management, monitoring, logging, vulnerability management, and related concepts.
• Depth of understanding with security concepts, protocols, and configuration (authentication, authorization, encryption, PKI).
• Knowledge of IT operating models and processes.
• Experience hardening infrastructures & systems and developing highly available & scalable systems (a plus).
• Ability to travel as required.
• Authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.