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Team Overview
Our team is at the forefront of building next-generation AI-powered platforms and cloud-native solutions that enable the organization to accelerate innovation at scale. We develop reusable engineering capabilities, intelligent services, and enterprise-grade platforms that empower product teams, data scientists, and engineers to build, deploy, and operate secure, scalable, and reliable applications.
We work across the full technology stack, combining modern software engineering, cloud infrastructure, data platforms, and Generative AI to solve complex business challenges. Our focus areas include Python engineering, cloud-native architectures on Google Cloud Platform, AI/ML platforms, Retrieval-Augmented Generation (RAG), agentic AI systems, platform reliability, and developer productivity.
The team values technical excellence, innovation, ownership, and continuous learning. Engineers are encouraged to experiment with emerging technologies, influence architectural direction, contribute to platform strategy,



and collaborate closely with product, security, data science, and business stakeholders. We foster a culture where robust engineering fundamentals, operational excellence, and practical AI innovation come together to deliver meaningful business impact.
As part of this team, you will have the opportunity to work on cutting-edge technologies, solve large-scale engineering problems, and help shape the future of intelligent systems across the enterprise. You'll collaborate with highly skilled engineers, architects, and AI practitioners while helping establish engineering standards, reusable frameworks, and best practices that drive success across multiple teams.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Role Overview And Core Responsibilities
Role Overview:
We are seeking an

📌 Lead AI Platform Engineer (Hyderabad)
🏢 TransUnion
📍 Hyderabad