Analyst, AI Engineer

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Women in Aviation International

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 1994

🚀 Aerospace

🤝 Non-profit

📚 Education

Aerospace • Non-profit • Education

Women in Aviation International is the largest nonprofit in the world dedicated to increasing the number of women in all areas of aviation. It provides a platform for networking, mentorship, and professional development through events like the annual Women in Aviation International Conference. The organization offers scholarships, educational resources, and community chapters to support women pursuing careers in aviation and aerospace. With over 20,000 members, it aims to inspire and empower women of all ages to excel in these fields.

📋 Description

• Build and support AI-ready access to WAI catalog, customer, order, product, sales-channel, and related business data as directed by AI platform leadership. • Assist with Infor integration and other trusted data connections so AI outputs are grounded in approved business data sources. • Implement semantic, keyword, and structured search across catalog, OE number, fitment, cross-reference, technical specification, and product data. • Parse and structure PDFs, Excel files, fitment guides, manufacturer specifications, RMA forms, customer questions, chatbot conversations, and other technical or business documents. • Build and support retrieval-augmented generation (RAG), embeddings, vector search, document ingestion pipelines, prompt workflows, and AI assistant capabilities for internal users and distributor support. • Capture and organize real user questions, failed searches, corrections, successful answers, and feedback to support evaluation data, retrieval improvement, and future model tuning. • Assist with evaluating, deploying, and testing approved hosted or open-source models such as Llama, Mistral, Qwen, or similar models under technical direction. • Support AI workflows related to Amazon Business trends, listing performance, returns, customer demand, and other approved business intelligence use cases as assigned. • Document technical logic, data mappings, prompts, retrieval sources, test cases, known issues, and support procedures. • Test AI outputs for source grounding, accuracy, consistency, reliability, and alignment with acceptance criteria. • Monitor assigned workflows, troubleshoot defects, analyze failures, and recommend improvements to retrieval quality, data quality, model behavior, and workflow performance. • Collaborate with offshore and onsite team members, IT, data owners, and business-facing AI resources to deliver approved work within WAI standards. • Undertakes additional responsibilities and tasks as directed by management.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Artificial Intelligence, or a related technical field preferred; equivalent experience may be considered based on local market practice. • 2+ years of experience in software development, data engineering, AI/ML, automation, analytics engineering, business systems, workflow tools, or related technical work. • Hands-on experience with Python, SQL, APIs, data pipelines, scripts, automation, or data workflows. • Hands-on exposure to or experience with large language models, prompts, RAG, embeddings, vector search, chatbots, AI agents, or document processing required; deeper or production-level experience across these areas strongly preferred. • Experience working with ERP, catalog, product, customer, order, inventory, or technical-document data preferred. • Experience supporting offshore delivery, remote collaboration, documentation, testing, or production support preferred. • Experience with automotive aftermarket, manufacturing, distribution, product data, fitment data, or similar technical domains is a plus.

🏖️ Benefits

• Limited travel expected, estimated at 0-10% based on business needs, project rollout requirements, training, workshops, or meetings.