Principal AI Data Engineer

Tatton Recruitment; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Certain Advantage in London is seeking a Principal AI Data Engineer for an initial contract through year-end, with a hybrid setup requiring three days on site in London. You will lead the development of AI and GenAI prototypes, focusing on RAG, agent frameworks, and production-ready GenAI applications for commercial teams in Trading & Supply.

The role emphasizes Databricks, Azure OpenAI, and large language models, with a strong emphasis on scalable data architectures and DevOps practices.

Qualifications

• Strong experience with Databricks ecosystem and ML tooling.
• Deep knowledge of Large Language Models (GPT, Llama, Claude, Mistral).
• Experience deploying GenAI, RAG and Agentic AI in enterprise settings.

Responsibilities

• Develop AI/GenAI prototypes using Azure AI Foundry and Databricks Mosaic AI.
• Build and evaluate RAG solutions via prompt engineering and embeddings.
• Design AI agents using LangChain, LangGraph, AutoGen.
• Deliver production GenAI apps for Trading & Supply teams.
• Create scalable AI workflows on Databricks leveraging Mosaic AI and MLflow.
• Apply DevOps practices with CI/CD, GitHub workflows and automated tests.
• Develop evaluation frameworks to benchmark GenAI performance.

Skills

Python

SQL

Scala

GenAI concepts

Tools

Databricks

MLflow

Delta Lake

Unity Catalog

DLT

Azure OpenAI

Azure Data Factory

Qlik Replicate

Spark Structured Streaming

Autoloader

LangChain

LangGraph

AutoGen

Job description

Principal AI Data Engineer

Certain Advantage is hiring for a Principal AI Data Engineer based in London.

This role is an initial contract until the end of the year and is hybrid, requiring 3 days per week onsite in London.

You’ll be responsible for:

• Developing AI, GenAI and Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow.
• Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models.
• Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen.
• Delivering production-ready GenAI applications for commercial teams within Trading & Supply.
• Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie and AgentBricks.
• Applying DevOps best practices through CI/CD pipelines, GitHub workflows and automated testing.
• Designing evaluation frameworks to benchmark, test and improve GenAI system performance and reliability.

The Individual

• Strong expertise with Databricks, including Delta Lake, Unity Catalog, DLT and MLflow.
• Deep knowledge of Large Language Models including GPT, Llama, Claude and Mistral.
• Experience building and deploying GenAI, RAG and Agentic AI solutions in enterprise environments.
• Strong programming skills in Python, SQL and/or Scala.
• Experience with Azure cloud technologies including Azure OpenAI and Azure AI Foundry.
• Knowledge of Spark Structured Streaming, Autoloader and modern data engineering practices.
• Experience with ETL/ELT, data modelling and scalable data architectures.
• Familiarity with Azure Data Factory, Qlik Replicate and data ingestion pipelines.

Working with Certain Advantage

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