Lead AI Platform Engineer (Python, Cloud & GenAI)
TransUnion (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate production-grade Python services and cloud-native systems on Google Cloud Platform enabling multiple teams to deploy and operate scalable AI-powered applications.
- Lead architectural decisions, define reusable engineering patterns and platform capabilities, and establish high engineering standards including testing strategies and code quality practices.
- Mentor engineers, drive cross-team collaboration, and lead technical communication with stakeholders to translate enterprise requirements into scalable, reliable solutions.
Minimum Requirements
- 7+ years of software, platform, cloud, data, or AI engineering experience with hands-on production ownership and architecture design.
- Expert-level proficiency in Python and experience with FastAPI or Flask, asyncio, pytest, and modern Python tooling.
- Proven experience building production cloud-native applications on Google Cloud Platform (GCP) including GKE, Cloud Run, BigQuery, Pub/Sub, Dataflow, Vertex AI, Terraform, Kubernetes, and CI/CD pipelines.
- Bachelor’s or Master’s degree in Computer Science, Engineering or related technical field, or equivalent practical experience.
Ideal Candidate Profile
- Experienced technical leader comfortable balancing deep hands-on Python engineering with architecture leadership across cloud-native AI systems.
- Strong domain expertise in Generative AI, LLM integration, Retrieval-Augmented Generation (RAG), and agentic AI systems in production environments.
- Skilled at driving operational excellence, reusable frameworks, testing quality, and cross-functional collaboration in a hybrid work setting.