We are seeking a highly skilled and dedicated Senior GenAI Data Integration Engineer to lead the integration of a key
client’s advanced Generative AI capabilities (Gemini on Vertex AI) with
our core Business Intelligence platform, Looker. This is a critical,
dedicated role focused on transforming how our business users interact with
data, moving from static reports to dynamic, conversational, and explanatory
data narratives. The ideal candidate must be an expert in both LookML and LLM integration/prompt engineering, capable of building and
deploying production -ready, well -documented, and reusable conversational
analytics frameworks using exclusively Google tools and compliant languages.
Duration
This is a 6 -month
dedicated contract role, with the solid possibility of a longer -term extension
based on project success and future strategic needs.
Key Responsibilities
The successful candidate will be fully
responsible for the end -to -end development, deployment, and documentation of
three core capabilities, utilizing only Google Cloud Platform (GCP)
services and standard compliant languages (Python/JavaScript):
1. Contextual Narrative Generation
â Design and implement a robust integration layer between Looker's
data models and the Gemini API (via Vertex AI).
â Develop and refine advanced Prompt Engineering strategies to analyze Looker
dashboard data, trends, and business drivers, ensuring contextual and accurate
narrative output.
â Automate the generation of high -quality, natural language
summaries and narratives explaining specific dashboard trends (e.g.
"Narrate the reason for the decrease in Total Approved Cost this
month").
2. Conversational Analytics and Dashboard Control
â Engineer and deploy a conversational chatbot interface using JavaScript/React and hosted on GCP (e.g. Cloud Run/App Engine).
â Utilize Python and the Looker API to effectively guide
the LLM in accurately determining the user's intent, translating the request
into the necessary L