Director, AI Platform and Development Engineering

Women in Aviation International

Director, AI Platform Engineering at WAI Global overseeing AI and data platform developments. Responsible for building AI-ready data systems and enhancing operational efficiency.

Posted 7/7/2026contractRemote • 🇮🇳 IndiaLeadWebsite

Tech Stack

Tools & technologies

CloudERPPythonRPASQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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Hard Skills & Tools

Data Pipeline ManagementData ModelingAPIsCloud PlatformsOrchestrationMonitoringRAGEmbeddingsVector DatabasesAI Orchestration Frameworks

Soft Skills

Technical DirectionTeam Management

Certifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Information SystemsBachelor's Degree in Data EngineeringBachelor's Degree in Software EngineeringBachelor's Degree in Data ScienceBachelor's Degree in Machine LearningBachelor's Degree in Artificial Intelligence