Forward Deployed AI Engineer

Другое

• We're looking for a Forward Deployed AI Engineer who can sit down with a client on Monday, understand what's actually broken, and have something working in front of them by Friday, and then make it hold up in production. 
• Forward deployed means what it says. You work close to the client: in their systems, in their meetings, in their language. You'll design, build and deploy solutions that survive contact with real users and real infrastructure, not just a demo environment. You'll 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 client's team can run, trust and 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 can operate and extend what's been built 
• Work directly with client stakeholders to translate operational problems into scoped, buildable solutions through fast discovery cycles 
• Help shape work before it's sold, scoping, 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 collaborative, we're not bound to any single technology or framework. You can read about some of our cases here: . Our 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 project's needs. As a Forward Deployed AI Engineer you'll be based in the AI & Engineering tribe. 
• We're open for both junior and senior level, so read the list below as the shape of the profile rather than a checklist. Nobody arrives with all of it. What matters is that you're self-driven, resourceful, and enjoy solving hard problems with other people.  Building things 
• Full-stack engineering. Python on the backend, JavaScript/TypeScript on the frontend. Tested, version-controlled code you'd be comfortable handing to someone else. 
• Databases and data modelling. PostgreSQL or similar. Comfortable designing a schema, reasoning about table relations, and knowing why the model matters before the first row lands. 
• Cloud. Azure, AWS or GCP, deploying and operating in it, not just reading about it. 
• Solution architecture and system design. You can draw the diagram: how services and components connect, where the data flows, what the user actually does. And then explain it to someone who doesn't build software. 
• Applied generative AI. Prompt and context engineering, retrieval-augmented generation, agentic workflows. Just as importantly, the judgement to say when GenAI  isn't  the 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 to use. A Streamlit app 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 what they're saying, and talk back in their terms rather than ours. 
• Translation. Turning business objectives and 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 instinct, or an appetite for it. Proposals, orals, SOWs, scoping conversations. If you're senior, we'd expect you to lead this. If you're earlier in your career, we'd expect you to want to learn it. 
•   Industry knowledge (not required, but useful)
• Understanding of the healthcare and pharma domain, typical commercial and marketing workflows, systems such as Veeva, Salesforce, SAP and SharePoint, and the regulatory backdrop including GxP. A good deal of our work sits in regulated industries, so this shortens the ramp considerably. 
• Experience deploying into restricted, on-premise, or client-controlled environments. 
• Intellishore  was founded in 2013, and is now home to 85+ passionate specialists in strategy, AI, and data, working from our Copenhagen and Zurich offices. We help and advise leading healthcare clients to shape the future of health, working with partners across the ecosystem to unlock the full potential of data and AI. Read more about our vision for Health 3.0 here: . We are builders who believe in an open and honest approach to consulting. We ask questions, stand by our beliefs, and cut through complexity to create clarity. For us, progress doesn’t come from technology alone - it happens when the right people have the right data, strategy, and tools to act. As a collective of developers and strategists, we bring energy, expertise, and a passio
• 1 | Challenging projects Exciting and challenging strategic and technical data & AI projects 2 | Entrepreneurial work environment An entrepreneurial work environment with ambitious and innovative colleagues 3 | Influence Unique opportunity for influencing and directing Intellishore's strategic journey 4 | Strategic seminars A yearly strategic seminar where all Intellishorians spend time strategizing and team-building (in previous years, we've been to South Africa, Japan, India, China, Dubai, Iceland, Germany, Italy & France) 5 | Sustainable consulting A consulting career with high levels of flexibility 6 | Exciting growth journey We are on a mission to redefine the health ecosystem and the world of data & AI, and we are constantly expanding our reach
• If you are interested in applying for this position, please send us your CV and a motivational letter that will help us connect the dots between your experience and the position. Applicants will be invited to interviews on a rolling basis.
• For more information about the position, please reach out to Sofie Freund: sofie.freund@intellishore.dk / +45 93 98 17 27.
• We are currently only considering applicants with EU work authorization who live in Denmark or are planning to relocate here.