Lead AI Platform Engineer (Python, Cloud & GenAI)
TransUnion (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 30–50 LPA
Posted 10h 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 AI platforms on GCP, including GenAI applications and RAG pipelines.
- Lead architecture for distributed, event-driven systems ensuring reliability, scalability, security, cost optimization, and observability.
- Provide technical leadership, mentoring, and influence engineering standards across multiple teams to enable reusable platform capabilities.
Minimum Requirements
- 7+ years of software, platform, cloud, data, or AI engineering experience with hands-on production systems ownership.
- Expert-level Python skills and experience with FastAPI, Flask, asyncio, pytest, and modern Python tooling.
- Strong experience building production cloud-native applications on Google Cloud Platform (GCP) and implementing Generative AI or ML systems.
- Bachelor's or Master's degree in Computer Science, Engineering or related technical field, or equivalent experience.
Ideal Candidate Profile
- Deep expertise combining Python engineering, cloud architecture (GCP), and Generative AI engineering at enterprise scale.
- Proven ability to lead and design complex distributed systems with practical knowledge of modern AI frameworks and cloud-native best practices.
- Experienced technical leader capable of mentoring engineers, influencing platform strategy, and collaborating cross-functionally with data science and product teams.