AI Pre-sales Architect

Description

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

Requirements

• 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 € 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.
• Company Description
• Our team helps clients use modern Microsoft platforms, trusted data and AI at scale. We work across the Microsoft ecosystem, from Azure and Fabric to Copilot, Copilot Studio and Microsoft Foundry, with security and governance embedded throughout.
• As a Microsoft AI Pre-Sales Architect, you'll help organisations transform bold AI ambitions into achievable business outcomes. Combining deep Microsoft technology expertise with strong commercial insight, you'll design solutions that not only stand out during the sales process but also create long-term value for clients.
• Rather than simply responding to client requirements, you'll help shape them. Discovery workshops, solution design, architecture definition, effort estimation, and commercial validation are all part of the role. By bringing together technical expertise, strategic thinking, and a strong understanding of delivery realities, you'll ensure every proposed solution is both differentiated and achievable.
• Lead with AI while keeping the full Microsoft platform in view.
• Connect Azure, data, AI, security, business applications and the digital workplace into one credible solution story.
• Start with industry and client outcomes rather than with technology alone.
• Use reusable architectures, accelerators and assets to improve speed, consistency and quality.
• Embed security, governance and trust into the solution from the start.
• Protect delivery quality through early qualification, technical validation and realistic delivery planning.
• Help clients move from pilots and isolated use cases towards scalable platform transformation.