Data Infrastructure And Ai Integration Lead

Summary

Join Avicado as a Data Infrastructure & AI Integration Lead and lead the development and implementation of a centralized data platform. You will architect a unified, cloud-based data store, integrate diverse data sources, develop automated ETL/ELT pipelines, and serve as the primary AI developer. Responsibilities include designing and deploying AI models and applications, architecting AI-powered solutions using RAG, and developing solutions like intelligent chatbots. You will collaborate with various teams, lead pilot projects, and ensure data security and compliance. Continuous improvement and staying updated on emerging technologies are also key aspects of this role. This position offers the opportunity to shape Avicado's internal technology landscape and drive significant operational improvements.

Requirements

• Bachelor's degree in computer science, Data Science, Artificial Intelligence, Information Systems, or related field (or equivalent practical experience)
• 4+ years in data architecture, data engineering, or a related technical role
• Hands-on experience in designing and implementing ETL/ELT processes and managing centralized data repositories
• Proven ability to deliver end-to-end technical projects in dynamic environments
• Proficiency in Python, SQL, or similar programming languages
• Strong problem-solving skills to translate complex business requirements into scalable technical solutions
• Excellent communication skills, capable of working with both technical and non-technical stakeholders
• Familiarity with AI concepts, including natural language processing (NLP), retrieval-augmented generation (RAG), and vector databases

Responsibilities

• Design and implement a scalable, cloud-based repository as the single source of truth for business intelligence and AI-driven applications
• Integrate a vector database (e.g., Pinecone, Weaviate, FAISS, or ChromaDB) for efficient storage and retrieval of unstructured knowledge
• Extract and integrate structured (financial, sales, project data) and unstructured (policies, historical Q&A) data from multiple systems
• Develop automated ETL/ELT pipelines to ensure timely and accurate updates to the centralized data store
• Serve as the primary AI developer, designing and deploying custom AI models and applications that enhance internal operations
• Architect AI-powered solutions using retrieval-augmented generation (RAG) for accurate, real-time responses with source citations
• Develop solutions such as intelligent chatbots capable of answering questions about HR, expense reporting, and internal process
• Implement a feedback loop to continuously improve the accuracy and relevance of AI responses
• Work closely with VP of Operations, IT, Biz Ops, and People & Talent teams to align data infrastructure with company objectives and reporting needs
• Lead pilot projects and iterate on prototypes based on user feedback and performance metrics
• Document architectural decisions, data flows, and AI integration processes to support scalability and future knowledge transfer
• Work closely with IT to ensure data security, governance and compliance across systems and tools
• Work closely with People & Talent to develop and deliver training materials and sessions to ensure effective adoption of the AI-powered tools among employees
• Stay up to date with emerging technologies in data engineering and AI
• Continuously enhance processes by implementing iterative improvements based on evolving business needs and user feedback

Preferred Qualifications

• Experience with cloud-based data warehousing or big data platforms (e.g., Snowflake, Big Query, Redshift, Hive, Spark)
• Prior exposure to AI integrations within enterprise environments
• Experience deploying AI-powered chatbots
• Demonstrated passion for leveraging data and AI to drive operational efficiency

Benefits

• Competitive compensation
• Health insurance
• 401k with employer match
• Flexible PTO
• Remote work
• Philanthropic Matching Gift Program