AI Applications Engineer II

Key Responsibilities

• Administer, configure, and optimize

  Gemini Enterprise

  and related AI agentic functionality to ensure seamless performance and compliance within Five9 environments.
• Manage

  user provisioning, license assignments, access controls, and security policies

  , ensuring consistency with IT, Infosec and compliance governance standards.
• Oversee appropriate

  Google Cloud Platform (GCP)

  resources including Project services, AI/ML engine, storage, and Gemini AI models focusing on reliability, performance, and cost management.
• Support

  cloud run workflows, CI/CD automation pipelines, and containerized environments

  , leveraging tools such as Terraform, Docker, and Kubernetes.
• Partner with data engineers, DevOps teams, and business stakeholders to troubleshoot issues, implement updates, and ensure timely support for production workloads.
• Conduct

  prompt engineering

  and workflow optimization to improve agentic AI accuracy, responsiveness, and relevance.
• Maintain and update

  documentation, runbooks, and best practice guides

  for platform operations, deployment, and support.
• Deliver

  training and enablement sessions

  to end users and power users on Gemini Enterprise capabilities and AI use cases.
• Continuously evaluate emerging Google AI and Gemini agentic technologies, recommending improvements that enhance scalability and automation.

Key Requirements

• Bachelor s or Master s degree in Computer Science, Information Systems, or a related field (AI or data systems focus preferred).
• Minimum of

  2 years of GCP experience

  supporting or developing AI/ML solutions on Google platform.
• Hands on experience with

  AI/ ML solutions/apps

  and operational best practices (ML Ops experience is advantageous).
• Proficiency with

  GCP services

  such as Compute Engine, IAM, Kubernetes, VPC, BQ, etc.
• Experience in

  automation and scripting

  using Python, Bash, and Infrastructure as Code (IaC) tools such as Terraform or Deployment Manager.
• Familiarity with

  Gemini Enterprise

  or similar enterprise AI frameworks, including prompt engineering, AI agent configuration, and data governance.
• Strong understanding of

  security, compliance, and auditing practices

  , including DLP, Access Transparency, and data residency standards.
• Excellent

  problem-solving, analytical, and troubleshooting

  skills.
• Strong interpersonal and communication abilities, with the capacity to explain technical topics to non-technical audiences.
• A passion for innovation, continuous learning, and driving impactful AI adoption across the enterprise.

Why You ll Love Working Here

• Be part of a forward-thinking

  Enterprise AI Team

  , driving next-generation innovation across the company.
• Work hands-on with

  cutting-edge technologies

  like

  Google Gemini Enterprise

  and other agentic AI tools that power real-world business applications.
• Collaborate with skilled engineers, data scientists, and business leaders on high-visibility projects that make a measurable impact.
• Enjoy a culture that values

  experimentation, continuous learning, and teamwork

  , with opportunities to grow your skills in cloud operations and AI engineering.
• Play a key role in transforming enterprise workflows through AI innovation, scalability, and operational excellence.