16 days ago
Amsterdam, NetherlandsSenior
Responsibilities
- Design end-to-end AI architectures, solution architectures, integration designs, and data flows that fit clients’ existing IT and data landscapes.
- Determine how models, RAG, agents, APIs, data platforms, and cloud platforms should work together, including considerations for modularity, feasibility, management, and total cost of ownership.
- Define production-readiness requirements for security, privacy, scalability, performance, observability, manageability, and Responsible AI.
- Guide realization by collaborating with enterprise architects, security specialists, and engineers and by reviewing and revising technical decisions.
- Document architecture decisions, integration designs, and security and data-flow diagrams to support long-term manageability.
Requirements
- Extensive experience with data, software, cloud, or AI solutions and with taking multiple complex systems from design to production.
- Experience with solution architecture, enterprise architecture, or technical leadership and the ability to maintain end-to-end coherence.
- Understanding of modern AI architectures and their production context, including LLMs, RAG, agentic workflows, APIs, and data and cloud platforms.
- Ability to explain complex trade-offs involving feasibility, security, cost, scalability, and maintainability to engineers and senior client stakeholders.
- Strong collaborative and technical decision-making skills.
- HBO or academic-level education in a technical field, or an equivalent level built through experience.
- Strong English communication skills; Dutch is required for some public-sector assignments.
- Preferred experience includes regulated environments, DNB, AFM, DORA, NIS2, public procurement frameworks, the EU AI Act, model risk management, on-premises or hybrid deployments, AI FinOps, reference architectures, or reusable accelerators.
- Relevant certifications such as Azure Solutions Architect Expert, Azure AI Engineer, Databricks, or TOGAF are advantageous.
Benefits
- Competitive salary based on experience and growth opportunities.
- Permanent contract from the start.
- Customized training, leadership development, certification opportunities, and continued AI learning.
- Choice of an electric lease car or mobility allowance, with access to multiple mobility providers through one app.
- 32 vacation days with the option to purchase additional days.
- Personal well-being budget and access to the OpenUp well-being platform.
- Meaningful client assignments, coaching, and access to leading AI tools and technologies.
- Hybrid working flexibility, with work at client sites and the office where applicable.
- Recruitment-process accommodations are available upon request.
Tech Stack
Categories
AI ApplicationsSolutions Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.