Analyst, AI Engineer

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🕒 July 10

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Women in Aviation International

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 1994

💼 Consulting

📦 Logistics

🚀 Aerospace

Consulting • Logistics • Aerospace

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 • Assist with Infor integration and other trusted data connections • Implement semantic, keyword, and structured search across catalog, OE number, fitment, cross-reference, technical specification, and product data • Parse and structure various technical or business documents • Build and support retrieval-augmented generation, embeddings, vector search, document ingestion pipelines, prompt workflows, and AI assistant capabilities • Capture and organize real user questions and feedback • Assist with evaluating, deploying, and testing approved hosted or open-source models • Support AI workflows related to business intelligence use cases as assigned • Document technical logic, data mappings, prompts, retrieval sources, test cases, and known issues • Test AI outputs for source grounding, accuracy, and reliability • Monitor assigned workflows, troubleshoot defects, and recommend improvements • Collaborate with offshore and onsite team members and partners to deliver approved work

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Artificial Intelligence, or a related technical field preferred • 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 • 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 • English fluency required; additional languages are a plus.

🏖️ Benefits

• Limited travel expected, estimated at 0-10% • Professional development opportunities