Principal Engineer – Data Engineering, AI & Distributed Systems
Wells Fargo (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 40–65 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead strategic direction and modernization of enterprise data engineering platforms, distributed systems, and AI/GenAI solutions at scale.
- Provide technical leadership influencing architecture, solving complex challenges, and advising senior leadership across multiple technology domains.
- Drive cloud-native application architecture and oversee implementation of innovation balancing operational excellence, security, scalability, and business alignment.
Minimum Requirements
- 7+ years of engineering experience, including software and data engineering leadership.
- 7+ years designing and delivering large-scale data engineering solutions and cloud-native architectures.
- 3+ years hands-on experience with Generative AI implementations, including training/fine-tuning LLMs.
- Experience with technologies such as Apache Spark, Kafka, Java/Spring Boot microservices; no mandatory degree or location restrictions explicitly mentioned.
Ideal Candidate Profile
- Recognized technical leader with deep expertise in Data Engineering, Java/Spring Boot microservices, and Generative AI influencing architecture and mentoring senior engineers.
- Experienced in leading modernization programs, especially legacy-to-cloud migration and enterprise AI governance/responsible AI frameworks.
- Strategic partner adept at engaging senior stakeholders (CIO/CTO), balancing innovation with risk-aware operational discipline in large, matrixed organizations.