Lead AI Platform Engineer (Python, Cloud & GenAI)
TransUnion (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 30–45 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate scalable, production-grade Python services and cloud-native systems on Google Cloud Platform focused on AI/ML and GenAI applications.
- Lead architecture, set engineering standards, and mentor engineers while defining reusable platform capabilities to support multiple teams building intelligent systems.
- Develop and oversee end-to-end implementation of LLM integration, Retrieval-Augmented Generation pipelines, agentic AI systems, and related infrastructure including observability, security, and cost optimization.
Minimum Requirements
- 7+ years of software/platform/cloud/AI engineering experience with significant production ownership and architecture leadership.
- Expert proficiency in Python with experience in FastAPI, Flask, asyncio, pytest, and modern tooling.
- Deep hands-on experience with Google Cloud Platform services such as GKE, Cloud Run, BigQuery, Pub/Sub, Vertex AI, Terraform, and CI/CD pipelines.
- Proven experience building and deploying Generative AI/ML systems and LLM-powered applications at enterprise scale.
Ideal Candidate Profile
- Strong technical leadership experience designing complex distributed systems, driving engineering standards, and mentoring teams across multiple functions.
- Expertise in combining modern software engineering with AI/ML, especially large language models and GenAI platforms, to deliver production-grade enterprise solutions.
- Comfortable operating at the intersection of software engineering, cloud architecture, and AI innovation with an emphasis on reusable patterns and scalable platform capabilities.