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Staff Engineer - AI Data Engineering

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Staff Engineer - AI Data Engineering in Others new

  • Prudential plc
  • Full time
  • Email
  • Singapore, Singapore

Responsibilities

  • Define enterprise AI data engineering strategy, architecture, engineering standards, and reusable architectural patterns.
  • Lead development of scalable data platforms and products for AI/ML, GenAI, LLMs, analytics, and enterprise applications.
  • Build ingestion, transformation, batch, streaming, event-driven, and near-real-time processing frameworks for databases, APIs, documents, events, logs, and enterprise applications.
  • Design and lead RAG, document ingestion, parsing, chunking, enrichment, embedding, vector search, semantic retrieval, reranking, knowledge repository, and enterprise search capabilities.
  • Create data pipelines for LLM evaluation, AI grounding, authorized retrieval, applicable fine-tuning, and AI agents.
  • Drive data modeling, data contracts, metadata management, lineage, observability, automated validation, data quality, reliability, and engineering SLAs/SLOs.
  • Embed infrastructure-as-code, CI/CD, DevOps, DataOps, governance, privacy, security, access controls, regulatory controls, and responsible AI practices.
  • Lead and mentor senior data engineers, AI engineers, and platform engineers across multiple engineering squads and programs.
  • Conduct architecture and engineering design reviews, resolve complex technical issues, and partner with architecture, cloud, cybersecurity, risk, compliance, data governance, AI governance, and application engineering teams.

Requirements

  • 15+ years of overall technology and engineering experience with substantial depth in data engineering, data platforms, or related disciplines.
  • Significant experience leading enterprise-scale data engineering programs and teams.
  • Strong experience designing and implementing cloud-native data platforms and distributed data processing architectures.
  • Demonstrated experience supporting AI/ML or GenAI workloads through data engineering, including structured and unstructured data processing.
  • Strong coding capability in Python, SQL, and PySpark or equivalent technologies.
  • Experience with enterprise-grade security, governance, data quality, CI/CD, DevOps/DataOps, and automated engineering practices.
  • Proven ability to operate across architecture, engineering, and senior stakeholder environments.
  • Preferred experience with GenAI and LLM solutions, RAG architectures, vector databases, embedding pipelines, semantic and hybrid search, knowledge graphs, AI agents, feature stores, MLOps, LLMOps, model evaluation datasets, unstructured-document processing, responsible AI, and AI governance.
  • Bachelor's or master's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related discipline.
  • Relevant Microsoft Azure, Databricks, or equivalent cloud/data technology certifications are desirable, and advanced AI/ML, Data Engineering, or Cloud Architecture certifications are advantageous.

Benefits

  • Equal opportunity employment and equality of opportunity for benefits regardless of protected characteristics.
  • Reasonable adjustments are available to support people with individual physical or mental health requirements.

Prudential plc

Prudential plc provides life and health insurance and asset management for consumers across Asia and Africa, including through its Eastspring Investments arm. The public company is headquartered in Hong Kong with dual primary listings in Hong Kong and London, and traces its origins to 1848 in the...

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