Women in Aviation International
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.
Director, AI Platform and Development Engineering
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Women in Aviation International
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
• Lead the design, build, deployment, and continuous improvement of WAI's AI-ready data and platform foundation across sales, inventory, planning, catalog, customer, order, product, and related business systems. • Design, build, and govern a centralized data lake that consolidates critical data from ERP and other core business systems into a single trusted foundation, enabling AI tools, models, and analytics to reliably access enterprise data. • Identify repetitive and manual tasks, use process mining to uncover workflow bottlenecks, and implement RPA solutions to improve efficiency and streamline operations. • Own technical architecture for AI/ML/LLM workflows, RAG, embeddings, vector search, structured data query, dashboards, APIs, model serving, and monitoring. • Connect, ingest, clean, validate, normalize, and automate data pipelines from structured and unstructured sources, including enterprise systems, reports, documents, PDFs, spreadsheets, and business notes.
🎯 Requirements
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Data Science, Machine Learning, Artificial Intelligence, or a related technical field required. • 10+ years of experience in software engineering, data engineering, AI/ML engineering, enterprise architecture, analytics engineering, cloud engineering, or related technical roles. • Experience designing or leading production data platforms, data lakes or lakehouses, analytics platforms, AI/ML platforms, LLM/RAG solutions, model workflows, APIs, or enterprise integration architectures. • Hands-on experience with data pipelines, SQL, Python, APIs, cloud platforms, data modeling, orchestration, monitoring, and production support practices. • Hands-on experience with LLMs, RAG, embeddings, vector databases, prompt/evaluation workflows, AI agents, model serving, and AI orchestration frameworks required. • Experience directly managing or providing technical direction to offshore/remote engineering teams required.
🏖️ Benefits
• N/A
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