Data Architect - Artificial Intelligence

Total Experience : 12-18 Years

Notice Period : Immediate Joiner

Location : Bengaluru (Hybrid/remote)

Solution Architecture/Data Architecture :

• Change Source code to accommodate for various architectural considerations e.g.: Moving MSAL based authentication to JWT based authentication to Databricks X-forwarded headers while using Apps.
• Sit through Technical reviews for configuring necessary Azure resources for deploying the application.
• Prepare Technical/Network Architecture Documentation and send it reviews and approvals for cloud and security teams before going live.

Databricks :

• Design and build pipelines for ingesting data into Databricks from various sources like SAP, website scraping. Core technical skill will be PySpark and PySQL.
• Write and do scenario-based testing, edge cases and discuss with the stake holders to finalize the necessary code changes and acceptance criteria.
• Understanding of the Databricks Unity Catalog permissions model and how to use OBO tokens and configure Service Principals for Databricks Agents, Genie Spaces, Machine Learning and Foundation Models.
• Knowledge of Databricks Apps. Ability to build and Deploy Databricks Apps using Visual Studio Code.
• Sending custom notifications from Databricks using APIs to custom Team Channel Webhooks.

AI :

• Ability to use FastAPI/React front end and build minimal Single Page Applications (SPAs) using Chat UI interfaces and Claude Models/APIs.
• Ability to use defined System Prompts, User Prompts etc. (i.e.) skills in prompt engineering.
• Basic Knowledge of Token Economics and ability use rule enforcement in prompts in addition to standard NLP language.
• Ability to reengineer code and see what it does and map it to the requirement specifications from users.
• Ability to use Graphs to detect inter dependencies between rules and circular references.
• Ability to use both Claude Vision API in addition to standard text processing.
• Understand and develop Retrieval Augmented Generation specifically to Databricks like AI Search indexes, Hierarchical Chunking etc.
• Know how to implement basic guard rails related to AI safety.
• Understand various caching mechanisms.

Tools :

• Ability to work with Claude Code and Genie.

Full Stack Development :

• Ability to understand how a full stack works frontend, backend, middle ware data layers, routes etc. and troubleshoot issues if any.
• Correct and rewrite code if any related to security findings in addition to standard development.
• Ability to Document code through various techniques like TDD, FDD, DFD and SDs.

DevOps :

• Create and Automate deployment pipelines (CI/CD) for Teams Bot Deployment, Web Application Deployments, Databricks Bundle/notebook Deployments through ADO.
• Add various validation steps like SnykScans, Linting.
• Configuring various environments based on CI/CD pipelines.