We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation. You will be responsible for developing and deploying AI assistants, designing prompt templates, and establishing embedding pipelines for enterprise platforms. This role requires hands-on experience with Gemini, a strong understanding of prompt engineering, and the ability to integrate generative AI capabilities into various systems.
Roles & 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.
Skills Required:
- 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.
- Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools and LLMs, with a familiarity with AI concepts.
- Experience working with Slack app development and deployment is a plus.
- Background in MLOps, LLMOps, or AI system orchestration at scale is a plus.
- Excellent communication skills and ability to work in cross-functional teams.
- Strong problem-solving skills and ability to translate business needs into technical solutions.
QUALIFICATION:
- Proficiency in Computer Science, Engineering, Information Systems, or a related field.
