Microsoft AI Pre-sales Architect

• 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

Qualifications :

• 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.

Additional Information :

• Gross salary between 5000 and 6500 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.

Remote Work :

No

Employment Type :

Full-time