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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Pre-sales Architect Data & AI

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeAmsterdam, NetherlandsNo salary listed

About the Job

Requirements

  • Extensive experience with data, cloud, software, or AI solutions in a consulting, enterprise, or technology environment.
  • Experience with pre-sales and solution shaping, such as proposal development, bid support, technical client advisory, or RFP and RFI engagements.
  • Ability to translate an architectural direction into deliverable scope, assumptions, phases, effort, costs, and risks.
  • Ability to combine technical depth with commercial insight while keeping delivery realities in view.
  • Ability to work effectively with clients, engineers, bid teams, and senior stakeholders under time pressure, and explain complex choices clearly.
  • HBO or academic-level education in a technical, exact-sciences, or business discipline, or an equivalent level built through experience; a diploma is not the deciding factor.
  • Strong English communication skills; Dutch writing and presentation skills are also used for many clients.
  • Ability to design and explain modern data and AI architectures at a high level.
  • Ability to substantiate effort, phasing, and risks, including when information is incomplete.
  • Strong knowledge of at least one cloud platform; Azure is most commonly used.
  • Ability to communicate with both engineers and C-level stakeholders.

Responsibilities

  • Lead client discovery conversations and workshops, translating ambitions into concrete data and AI use cases and solution directions.
  • Develop initial architecture, including solution outlines, high-level designs, technology-stack proposals, assumptions, dependencies, and non-functional requirements.
  • Substantiate scope, roles, phases, effort, schedule, costs, and technical risks, and test whether commercial assumptions are realistic.
  • Work with bid managers, partners, and account teams on RFPs, RFIs, tenders, and proposals, explaining the solution to technical and non-technical stakeholders.
  • Transfer decisions, risks, and assumptions to the AI Architect and Engineering Lead after award, and remain accountable for the commitments in the proposal.
  • Act as a trusted advisor to the client and engineering team during the initial implementation phase.

Desired Qualifications

  • Experience with European tenders and public procurement processes.
  • Cost modeling for generative AI, including token and inference costs across multiple years.
  • Experience using governance and compliance as design principles, including the EU AI Act, auditability, and EU data residency.
  • Experience creating reusable proposal assets and reference architectures.
  • Exposure to Microsoft Foundry, Azure OpenAI, Amazon Bedrock, Google Cloud Vertex AI, Databricks, Snowflake, dbt, Kafka, retrieval-augmented generation and agentic patterns, LangGraph, the Model Context Protocol, Kubernetes, Terraform, and continuous integration and continuous delivery.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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