AI Senior Principal Engineer

Principal AI Engineer – London

CBRE is building the future of AI‑driven data governance and analytics at enterprise scale. We’re looking for a Principal AI Engineer to lead the charge — someone who can architect solutions, ship code, and use AI to move fast.

First Mission (Months 1–6)

Build a proof‑of‑concept using LLMs to automate data stewardship in our Reltio MDM platform—specifically, AI‑driven entity matching and merging. Prove that LLMs can make our data cleaner, faster, and smarter. From there, shape how CBRE adopts AI across data governance, analytics, and beyond—moving from proof‑of‑concept to production, and from one use case to many.

What You Will Be Doing

AI/ML Solution Architecture

• Architect and implement AI/ML solutions that drive data quality, governance, and analytics at scale across CBRE’s enterprise data estate.
• Integrate LLMs via our internal Ellis AI platform into data workflows—entity matching, classification, quality scoring, and anomaly detection.
• Design agent frameworks and RAG pipelines that connect CBRE’s proprietary data assets to LLM capabilities in a governed, production‑ready way.
• Evaluate emerging AI capabilities and translate them into prioritised, implementable solutions aligned to CBRE’s governance and data strategy.

Platform Engineering & Delivery

• Build production systems using Python, AWS, Snowflake, and Reltio APIs—design, ship, and maintain them.
• Use AI to write code—move fast with modern AI‑assisted development tooling and set the standard for the team.
• Embed AI capabilities into existing data pipelines and governance workflows, ensuring solutions are scalable, observable, and maintainable in production.

Collaboration & Stakeholder Engagement

• Collaborate cross‑functionally with data engineers, governance teams, DQ engineers, and business stakeholders to identify and prioritise AI use cases.
• Partner with the Collibra and SODA engineering leads to accelerate metadata enrichment, DQ automation, and stewardship workflows.
• Evangelise AI adoption across the data team—teach, mentor, and influence how CBRE thinks about AI and data at every level of the organization.

Must‑Haves

• Experience building production data and engineering systems with demonstrable delivery at enterprise scale.
• Deep hands‑on experience with LLMs—architecting solutions: prompting strategies, RAG, fine‑tuning, and agent frameworks.
• Expert‑level Python and modern ML/AI frameworks.
• AWS experience—build, deploy, and scale on cloud infrastructure.
• Track record of shipping AI products that solve real business problems—beyond prototypes.
• Architect + implementer mindset—design elegant systems and roll up sleeves to build them.

Nice‑to‑Haves

• Experience with Master Data Management (MDM) or Reltio specifically.
• Snowflake expertise—data modelling, Snowpark, or Cortex ML.
• Prior work in commercial real estate or large enterprise data environments.
• Familiarity with Collibra or SODA—understanding how AI augments governance and DQ platforms.

Our Stack

• AI Platform — internal LLM platform with OpenAI, Gemini, Claude.
• Cloud — AWS.
• Data Warehouse — Snowflake.
• MDM — Reltio.
• Data Governance — Collibra.
• DQ Platform — SODA.
• Integration — SnapLogic.
• Languages — Python (primary), SQL.

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