Senior Enterprise Applications Engineer - AI Workflows

Requirements

• You have strong Python automation skills, with the ability to build, troubleshoot, and scale scripts and tools independently.
• You have a deep understanding of LLMs, prompt engineering, and applied ML workflows from experimentation and evaluation to deployment and monitoring.
• Experience integrating third-party AI models (e.g., Gemini, or custom fine-tuned models) into real-world tools or services.
• You have hands-on experience with Google Cloud Platform (GCP), especially in integrating applications and automating tasks across services such as Vertex AI and Cloud Functions.
• You’re comfortable deploying and managing AI tools and agents, including Gemini, Google Vertex AI, and Gemini Enterprise (Agentspace), or similar and integrating them into operational workflows.
• You’ve successfully rolled out and maintained a variety of SaaS applications and tooling ecosystems, including Slack Enterprise Grid, Zoom, Atlassian (Jira & Confluence), and others.
• You apply a security-first mindset, designing solutions that safeguard data and systems while maintaining a seamless user experience.
• You’re a strong communicator and collaborator, capable of working cross-functionally to deliver scalable, secure, and maintainable systems that support global operations.

What you'll be doing

• Design and build agentic workflows to automate internal processes using VertexAI as well as Google’s Agent Development Kit (ADK) (e.g., automated support agents, intelligent documentation retrieval, automated provisioning).
• Enhance and administer our Google Gemini Enterprise environment, building custom integrations for our internal tooling.
• Design, interconnect, maintain, and scale our enterprise applications as we launch new tools and enhance existing services, with a focus on automation and operational efficiency.
• Maintain and scale our SaaS ecosystem (Atlassian Suite, Slack Enterprise Grid, Google Workspace, Zoom), ensuring they are secure, performant, and ready for global scale.
• Develop, improve and support internal Slack Apps and custom integrations that extend functionality and improve communication and productivity across teams.
• Partner with our Enterprise Access Management team to implement secure identity and access controls, including automated provisioning and deprovisioning across systems.
• Build and maintain Python-based applications, automations and workflows to reduce manual effort and increase tooling reliability.
• Integrate enterprise applications with Google Cloud Platform (GCP), leveraging services like Pub/Sub, and Cloud Functions to drive automation and security.
• Create and maintain clear, high-quality documentation of workflows, administrative procedures, and integrations for both technical and non-technical audiences.