Client is one of the world’s leading skilled services firms and the fastest growing Big Four accounting firm
About The Job:
- We are looking for a Tech Lead – Custom Applications with GenAI as the primary focus, who can design, explain, and own end‐to‐end AI‐driven systems. This role requires not just conceptual knowledge but hands‐on depth and architectural clarity, especially around GenAI application design, data pipelines, ETL strategy, and system trade‐offs.
- The ideal candidate must demonstrate the ability to clearly articulate design decisions, explain component‐level interactions, and guide teams in building scalable, secure, and maintainable GenAI-powered applications.
Essential Job Functions:
GenAI Architecture & System Design (Primary Expectation)
- Lead the design and implementation of GenAI‐based custom applications.
- Define complete GenAI system architecture, including:
- Data ingestion and preprocessing pipelines
- Embedding generation and storage strategies
- Model orchestration (LLMs, agents, tools,
workflows)
- Prompt engineering and prompt lifecycle management
- Inference layer and API integration
- Clearly explain why specific architectural choices were made, including:
- Model selection and trade‐offs
- Latency vs accuracy considerations
- Cost, scalability, and observability implications
- Design unstructured and semi‐structured data workflows for GenAI use cases.
Data Pipelines & ETL Strategy (Critical Gap Area from Feedback)
- Design and own ETL and data pipelines that support GenAI applications.
- Define data manipulation formats and transformations (JSON, Parquet, Delta, etc.).
- Establish data design strategy, including:
- Source‐to‐target mapping
- Data validation and quality checks
- Versioning and lineage
- Demonstrate strong understanding of how raw data becomes model‐ready data.
- Avoid “point‐to‐point” integrations by designing structured, scalable pipelines.