AI Solutions Engineer

AI Solutions Engineer

1. Role overview

  • The work starts inside a client's business, sitting with the people who do the job and writing down how it runs, including the rules nobody documented.

  • Then you build the system that carries it, on their platforms and inside their controls. A demonstration is not a system, so approvals, an audit trail and an owner exist before anything goes near real work.

  • You do not hand it over. The engineer who scopes it builds it and then operates it, which is how you find out what you got wrong.

2. Key Responsibilities

  • Sit with the people who do the work and map the process as it actually runs

  • Record the exceptions that live only in somebody's head

  • Write the blueprint the client signs off before any code exists

  • Build the system inside the client's own platforms and systems of record

  • Design the approvals, the escalation and the audit trail with the client's team

  • Run the system beside the existing process until its output is trusted

  • Operate what you built, and extend it to the next process

3. Qualifications

  • You have taken something you built all the way into production and lived with it afterwards.

  • Strong Python or TypeScript, and comfort inside somebody else's codebase and data model.

  • Experience integrating with systems of record: ERPs, CRMs, policy or claims systems, document stores.

  • Working knowledge of current models, and of where they stop being reliable.

  • You can sit with someone and understand how their job really works.

  • You write clearly enough that a client's own engineers can review your design.

  • Comfortable on a client site, and comfortable saying that a process is not worth automating.

  • You would rather own one system that runs than ship five that do not.

4. The work

  • Understand the client's process before choosing the technology.

  • Build systems for real operational work.

  • Work with the people who know the process.

  • Learn from the behaviour of systems in production.

  • Choose tools to fit the client's platforms and controls.

  • Document decisions so other engineers can follow the work.

  • Connect engineering decisions to the work the system must carry.

  • Keep the client's people involved as the system evolves.

Type

Department

Engineering

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Lyrion

AI engineering firm

Technology Should Solve Real Problems.

Every solution we build is designed around business value, not unnecessary complexity.

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Let’s

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Lyrion

AI engineering firm

Technology Should Solve Real Problems.

Every solution we build is designed around business value, not unnecessary complexity.

0+

Business systems connected

Get In Touch:

By submitting, you agree to our Terms and Privacy Policy.

Let’s

*

Explore

The Possibility

Together

!

Avatar

Lyrion

AI engineering firm

Technology Should Solve Real Problems.

Every solution we build is designed around business value, not unnecessary complexity.

0+

Business systems connected

0%

Actions logged and reviewable

0%

Less Manual Work

Get In Touch:

By submitting, you agree to our Terms and Privacy Policy.

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