Artificial Intelligence Enterprise Architect

1 month ago

San Francisco, California, United States Nava Software Solutions LLC Full time
Job Overview

Nava Software Solutions LLC is seeking an experienced Artificial Intelligence Enterprise Architect to lead the design and implementation of AI-powered solutions.

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.
Requirements:
  • Mandatory skills: Autogen Framework, CrewAI, WrenAi, SQL Agents, AG-Grid, Flask/Django/FastAPI development expertise, Core Python, Iterators, Generators, OOP concepts, Python Shell (REPL), Object Relational Mapper, Data structure, Exception handling, AI Search, Vector Database creation for relational databases and unstructured data, Azure App Services, Azure SQL, Azure Data Factory, Linked Services, Azure Synapse.
  • 9-10 years of overall technology experience in core application development + AI project architectural leadership of at least 3 years.
  • 5+ year's experience leading development of AI applications using Python backend frameworks and multiple inferencing pipelines.
  • Rapid PoC/Prototyping skills and expertise in building and demonstrating application blueprints without needing a developer's assistance.
  • Deep, hands-on, and architectural proficiency in Python, Ag-Grid, and ReactJS.
  • Hands-on expertise in SharePoint indexes and data/file structures (Azure SQL).
  • Good knowledge of Azure Form Recognizer for OCR of complex images, forms, and other data.
  • Hands-on experience with implementing TaskWeaver, 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.
  • Sound project implementation level knowledge of Pinecone, FAISS, Weaviate, or ChromaDB.
  • Deep expertise in Prompt Engineering using DsPy tools.
  • Knowledge of NLP techniques like transformer networks, embeddings, intent recognition.
  • Hands-on skills on Embedding and finetuning Azure OpenAI using MLOPS/LLMOPS pipelines.
  • Strong communication, architectural sketching, and collaboration skills.
  • $180,000 - $200,000 per annum, depending on experience.

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