- Shape solutions with clients. Lead discovery sessions and workshops, clarify the underlying client need and translate business ambitions into concrete AI use cases, solution directions and architecture principles.
- Design the initial architecture. Develop solution outlines, high-level designs and target architectures covering AI, agents, data, cloud, integration, security, governance and operational requirements.
- Make the solution deliverable. Translate architecture into scope, roles, phasing, effort, planning, cost assumptions, dependencies and technical risks. Test whether the commercial assumptions are realistic.
- Create compelling proposals. Work with bid managers, partners and account teams on RFPs, RFIs, tenders, proposals and presentations. Explain the solution clearly to both technical and non-technical stakeholders.
- Apply early quality controls. Support technical design and delivery reviews to validate feasibility, completeness, delivery approach, estimates, risks and architecture before a proposal is submitted.
- Challenge when necessary. Be prepared to say when a proposed scope, timeline, architecture or commercial assumption is not feasible, and offer a more realistic alternative.
- Maintain continuity after the win. Transfer architectural decisions, assumptions, dependencies and risks to the delivery architect and delivery lead, and remain involved during mobilisation and the initial implementation phase.
- Build reusable assets. Turn lessons from pursuits into reusable reference architectures, estimation approaches, templates, demonstrations and other assets that improve future sales and delivery.
- Collaborate with Microsoft. Connect client needs to relevant Microsoft platform capabilities and work with Microsoft teams on joint solutioning and a consistent end-to-end platform story.
You do not need hands-on expertise in every Microsoft product. We are looking for depth in a relevant part of the landscape, combined with enough breadth to make end-to-end architecture decisions and involve the right specialists. At architecture level, you should be comfortable with several of the following areas:
- Microsoft Foundry, Azure OpenAI, Copilot Studio and agentic AI patterns
- Microsoft 365 Copilot and AI-enabled workplace solutions
- Microsoft Fabric (including Fabric Apps and Agents in Fabric), data engineering, data products and enterprise intelligence
- Microsoft IQ: Fabric IQ, Foundry IQ and Work IQ
- RAG, enterprise knowledge architecture, model selection and AI evaluation
- Azure architecture, landing zones, databases and infrastructure modernisation
- Integration patterns, APIs, event-driven architectures and enterprise applications
- Power Platform
- Microsoft Agent365, Entra, Purview, Defender and security and governance by design
- Github & Github Copilot
- AI platform operations, monitoring, resilience and cost management
- Infrastructure as Code, CI/CD, containers and modern engineering practices
- Open models, open standards and integration with non-Microsoft platforms where required
- At least 5 years experience with AI, data, cloud or software solutions in consulting, enterprise or technology environments
- Experience with pre-sales and solution shaping, including proposal development, bid support, technical client advisory, workshops or RFP/RFI processes
- The ability to translate architecture into scope, assumptions, phasing, effort, cost and risk
- Deep expertise in at least one relevant part of the Microsoft cloud, data or AI landscape
- Experience designing solutions that have progressed into implementation or production
- Strong technical depth combined with commercial awareness
- Strong written, presentation and communication skills for both technical and executive audiences
- Higher professional or academic working and thinking level in a technical, scientific or business-related discipline, or equivalent professional experience
- Excellent written and spoken English is required. Dutch is strongly preferred because many client conversations, workshops and proposals often take place in Dutch.
- Gross salary between € 5,000 and € 6,500 per month depending on your work experience, variable performance based reward, a fixed expense allowance and a fixed working from home allowance per working day.
- 30 vacation days (on a full-time basis) and the option to buy more days or sell your vacation days.
- At KPMG we work hybrid, so you can work from home or at the office.
- A completely furnished home office.
- A lease car or a mobility budget.
- A laptop and iPhone.
- Choice to pick from different courses which contribute to your own personal and professional development.
- Focus on well-being! There is a gym at the Amstelveen office or you can get a discount for a gym near your house and you get access to different health and/or vitality programs.
- ‘Together’ is one of our core values. So you can count on different social activities, like team events, drinks with colleagues and events with all your KPMG colleagues.
