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

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and managing AI-ready data platforms, including data lakes and pipelines, while ensuring efficient integration and orchestration of data from various sources. Proven ability to lead technical architecture for AI/ML workflows and provide direction to engineering teams.

Highest-signal resume keywords

Data EngineeringAI/ML EngineeringData Lake DesignSQLPython

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline ManagementData ModelingAPIsCloud PlatformsOrchestrationMonitoringRAGEmbeddingsVector DatabasesAI Orchestration Frameworks

Soft Skills

Technical DirectionTeam Management

Certifications & Qualifications

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

Industry Keywords

Enterprise ArchitectureAnalytics EngineeringProduction Support PracticesAI ToolsModel Workflows

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

N/A 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score