Forward Deployed AI Engineer

intellishore • Copenhagen, Denmark

6 dage siden

Job beskrivelse

Were looking for a Forward Deployed AI Engineer who can sit down with a client on Monday understand whats actually broken and have something working in front of them by Friday and then make it hold up in production.

Are you our new Forward Deployed AI Engineer

Forward deployed means what it says. You work close to the client: in their systems in their meetings in their language. Youll design build and deploy solutions that survive contact with real users and real infrastructure not just a demo work alongside platform architects strategy consultants and product designers to turn fuzzy client problems into scoped working solutions grounded in solid data foundations. Two projects are rarely the same.

In this role you will:

Design implement and evaluate solutions measuring accuracy quality and speed in ways that hold up to client scrutiny
Carry solutions from working demo to something the clients team can runtrustand maintain
Map and communicate solution architecture both from a systems perspective and a data perspective
Integrate with existing client systems and deploy into client infrastructure designing for handover so clients canoperateand extendwhatsbeen built
Work directly with client stakeholders to translate operational problems into scoped buildable solutions through fast discovery cycles
Help shape work beforeitssoldscoping proposals and the conversations that turn an idea into an engagement

Our work spans actionable data and AI strategies data architecture design advanced AI/ML models scalable enterprise data platforms and GenAI products that go into daily use. Flexible and collaborativewerenot bound to any single technology or framework. You can read about some of our cases here: organization is structured around two tribes: Strategy & Transformation and AI & Engineering working hand in hand on every project. We cross-staff dynamically assembling cross-functional teams tailored to each projects needs. As a Forward Deployed AI Engineer youll be based in the AI & Engineering tribe.

Who are we looking for

Were looking for a senior level candidate who is self-driven resourceful and enjoy solving hard problems with other people. Read the list below as the shape of the profile rather than a checklist. Nobody arrives with all of it.

Building things

Full-stack engineering. Python on the backend JavaScript/TypeScript on the frontend. Tested version-controlled codeyoudbe comfortable handing to someone else.
Databases and datamodelling. PostgreSQL or similar. Comfortable designing a schema reasoning about table relations and knowing why the model matters before thefirst rowlands.
Cloud. Azure AWS or GCPdeploying andoperatingin it not just reading about it.
Solutionarchitecture and system design. You can draw the diagram: how services and components connect where the data flows what the useractually does. And then explain it to someone whodoesntbuild software.
Applied generative AI. Prompt and context engineering retrieval-augmented generation agentic workflows. Just as importantly the judgement to say when GenAIisntthe right tool and a rule a classical model or no automation at all would serve the client better.
Taste. You care how the thing looks and how it feels touse. AStreamlitapp or a notebook is a prototype not a product and you know the difference.

Working with clients

Fluency in their language. You can listen to a client describe their week hear the actual pain point underneath whattheyresaying and talk back in their terms rather than ours.
Translation. Turning businessobjectivesand half-formed requirements into technical specifications someone can build from.
Presence in the room. Presenting explaining trade-offs managing expectations and being able to say no when no is the right answer.
Commercial instinctor an appetite for it. Proposals orals SOWs scopingconversations. Ifyoureseniorwedexpect you to lead this. Ifyoureearlier in your careerwedexpect you to want to learn it.

Industry knowledge (notrequired but useful)

Understanding ofthe healthcare and pharma domaintypical commercialand marketingworkflows systems such as Veeva Salesforce SAP and SharePoint and the regulatory backdrop includingGxP. A good deal of our work sits in regulated industries so this shortens theramp considerably.
Experience deploying into restrictedon-premise or client-controlled environments.