Description :

We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure.

Key Responsibilities :

- Develop and deploy Slack-based AI assistants leveraging Gemini models.

- Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence).

- Establish and manage an embedding pipeline for Confluence documentation.

- Build and maintain orchestration logic for prompt execution and data retrieval.

- Set up API authentication and role-based access controls for integrated systems.

- Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension).

- Contribute to documentation, internal walkthroughs, and user acceptance testing planning.

- Participate in Agile ceremonies including daily standups and sprint demos.

Required Qualifications :

- Proven experience with Gemini and large language model deployment in production environments.

- Proficiency in Python, orchestration tools, and prompt engineering techniques.

- Familiarity with vector database technologies and embedding workflows.

- Experience integrating APIs for data platforms such as Looker and Confluence.

- Strong understanding of access control frameworks and enterprise-grade authentication.

- Demonstrated success in Agile, sprint-based project environments.

Preferred Qualifications :

- Experience working with Slack app development and deployment.

- Background in MLOps, LLMOps, or AI system orchestration at scale.

- Excellent communication skills and ability to work in cross-functional teams.