Senior Enterprise AI Architect

3 days ago

Noida, Uttar Pradesh, India beBeeDataScientist Full time ₹ 1,50,000 - ₹ 28,00,000
Data Scientist Opportunity

We are seeking a skilled Data Scientist to support our 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.

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.

Requirements:

  • 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.

Qualifications:

  • Proficiency in Computer Science, Engineering, Information Systems, or a related field.

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