Gen AI Architect

Key Responsibilities -

Architectural Design:

• Collaborate with stakeholders to understand business requirements and translate them into architectural blueprints.
• Design scalable, secure, and high-performance architecture for the Autogen-based LLM-Integrated application.
• Define data models and schemas for integrating operational data from relational databases into the application.

Implementation and Development:

• Lead the implementation efforts, ensuring adherence to architectural guidelines and best practices.
• Develop robust APIs and interfaces for seamless communication between the application and relational databases.
• Write efficient and maintainable code, following coding standards and version control processes.

Integration and Testing:

• Integrate operational data from various relational databases into the application, ensuring data consistency and integrity.
• Conduct thorough testing, including unit testing, integration testing, and performance testing, to validate the functionality and scalability of the application.
• Troubleshoot and debug issues as they arise during the integration and testing phases.

Optimization and Performance Tuning:

• Identify performance bottlenecks and optimization opportunities within the application architecture.
• Implement performance tuning strategies to improve the speed, reliability, and efficiency of data retrieval and processing.
• Continuously monitor system performance and proactively address any degradation or inefficiencies.

Documentation and Knowledge Sharing:

• Create comprehensive technical documentation, including architecture diagrams, API specifications, and deployment procedures.
• Conduct knowledge sharing sessions to disseminate architectural knowledge and best practices among team members.
• Provide guidance and mentorship to junior team members, fostering their professional growth and development.

Skills Required -

Must have: Core Python Iterators, Generators , OOP concepts, Python Shell (REPL) and Object Relational Mapper, Data structure and Exception handling etc.

Must have:

• AI Search, Vector Database creation for relational databases and unstructured data
• 10-15 years of overall technology experience in core application development
• Experience leading development of AI application using Python backend frameworks and multiple inferencing pipelines
• Rapid PoC/Prototyping skills and expertise in building and demoing application without need a developer's assistance.
• Hands-on expertise of SharePoint indexes and data/file structures (Azure SQL)
• Good knowledge of Azure Form Recognizer for OCR of complex images, forms and other data
• Handson with implementing Task Weaver, Autogen, Agentic Flows, Retrieval Augmented Generation (RAG) and RLHF (Reinforcement Learning from Human Feedback)
• Designing and implementing vector databases on Azure cloud using Ai Search and Cosmos DB vCore

Additional Requirements -

• Sound project implementation level knowledge of Pinecone, FAISS, Weaviate or Chroma DB
• Knowledge of NLP techniques like transformer networks, embeddings, intent recognition etc.
• Hands-on skills on Embedding and finetuning Azure OpenAI using MLOPS/LLMOPS pipelines.
• Strong communication, architectural sketching, and collaboration skills