Knowledge Engineer

Browne Jacobson; Nottingham; On-site; GBP 60,000 - 80,000; Full time

Job summary

Browne Jacobson in Nottingham is seeking a Knowledge Engineer to build internal AI use cases that drive real change across the firm. You will join the Knowledge Management department with hands-on, practical work and a focus on delivering tangible results for fee earners.

This role offers diverse work across practice groups, ownership of multiple workstreams, and the chance to document prompts, logic and decisions so complex builds can be explained, reviewed and ported within the firm.

Responsibilities

• Building AI use cases identified by the Transformation board, taking them from initial requirements through to working, tested versions ready for fee earners to use.
• Working closely with nominated fee earners throughout each build - testing and refining draft outputs based on their feedback, and mapping and documenting the prompts, logic, assumptions and decisions underlying each build so they can be explained, reviewed and ported.
• Owning multiple workstreams in parallel, keeping the Knowledge Infrastructure and Governance Manager and other stakeholders informed on progress, risks and timelines.

Job description

Job Description

We're looking for a Knowledge Engineer to build internal AI use cases that drive real change across the firm.

Job Description

We're looking for a Knowledge Engineer to build internal AI use cases that drive real change across the firm.

The role

As a Knowledge Engineer, you'll sit within our Knowledge Management department with a clear focus on building and delivering internal AI use cases agreed by the Transformation board. You'll enjoy hands-on, practical work, moving comfortably between different practice groups and work types, and you'll bring a positive mindset and genuine curiosity about what legal technology can deliver.

What You'll Be Doing

• Building AI use cases identified by the Transformation board, taking them from initial requirements through to working, tested versions ready for fee earners to use.
• Working closely with nominated fee earners throughout each build - testing and refining draft outputs based on their feedback, and mapping and documenting the prompts, logic, assumptions and decisions underlying each build so they can be explained, reviewed and ported.
• Owning multiple workstreams in parallel, keeping the Knowledge Infrastructure and Governance Manager and other stakeholders informed on progress, risks and timelines.