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About the Role
As an AI Architect at PwC, you will design end-to-end solutions for GenAI, RAG, and agentic AI, integrating data, cloud, security, and governance into scalable and cost-efficient architectures. You will translate business needs into robust architectures that combine data, cloud, security, governance, and AI technologies, ensuring they fit within the client's existing IT and data landscape.
Responsibilities
- Determine technical direction and ensure design coherence from conception to realization.
- Design end-to-end AI architectures, translating client requests into solution architectures, integration designs, and data flows compatible with existing IT and data landscapes.
- Make substantiated technology choices, defining how models, RAG, agents, APIs, data, and cloud platforms integrate, incorporating modularity for future model updates and assessing impact on feasibility, management, and TCO.
- Define production readiness criteria, establishing non-functional requirements for security, privacy, scalability, performance, observability, manageability, and Responsible AI.
- Provide direction during realization, collaborating with enterprise architects, security specialists, and engineers, evaluating technical choices, and adjusting designs based on practical feedback.
- Document key decisions in architecture decision records, integration designs, and security/data flow diagrams to ensure long-term solution manageability.
Requirements
- Experience with architecture in regulated environments (DNB, AFM, DORA, NIS2, or public procurement frameworks).
- Knowledge of the EU AI Act and practical model risk management.
- Experience with on-premise or hybrid deployments for sensitive environments.
- Cost modeling (FinOps) for AI, including estimating and optimizing token and inference costs.
- Experience setting up reference architectures or reusable accelerators.
- Relevant certifications such as Azure Solutions Architect Expert, Azure AI Engineer, Databricks, TOGAF.
- Experience as a solution architect, enterprise architect, senior engineer, or technical lead who looks beyond individual models and pilots.
- Extensive experience with data, software, cloud, or AI solutions, having guided multiple complex systems from design to production.
- Experience with solution architecture, enterprise architecture, or technical leadership, with the ability to maintain end-to-end coherence.
- Understanding of modern AI architectures and their production context, including LLMs, RAG, agentic workflows, APIs, data, and cloud platforms.
- Ability to make complex trade-offs understandable, weighing feasibility, security, costs, scalability, and maintainability, and clearly explaining choices to engineers and senior client stakeholders.
- Ability to provide direction through collaboration, listening to different perspectives, substantively assessing technical choices, and helping teams reach a supported and executable design.
- Strong communication skills in English; Dutch is required for some public sector assignments.
Skills
- GenAI
- RAG
- Agentic AI
- Data Architecture
- Cloud Architecture
- Integration Architecture
- Security Architecture
- Governance
- Microsoft Foundry
- Azure OpenAI
- Azure AI Search
- Amazon Bedrock
- Vertex AI
- Azure
- Databricks
- Microsoft Fabric
- Snowflake
- Microsoft Agent Framework
- LangGraph
- MCP
- Docker
- Kubernetes
- Azure Container Apps
- Infrastructure as Code
- CI/CD
- Identity Management
- Networking
- Observability
- Evaluation
- Guardrails
- Auditability
- Cost Management
- FinOps
- Model Risk Management
- Solution Architecture
- Enterprise Architecture
- Technical Leadership
Location
- Netherlands
Work Type
- Hybrid
- Onsite
Experience Level
- Senior
- Experienced
Education Level
- Bachelor's degree or equivalent experience
- Academic degree or equivalent experience
Salary/Compensations
- Competitive salary based on experience
Benefits
- Opportunity for growth and advancement
- Permanent contract
- Motivating work environment with ambitious colleagues
- Recognition for contributions
- Extensive customized training programs for professional growth and leadership development
- Support for certifications and AI knowledge building
- Choice of mobility options: electric lease car or mobility allowance
- Access to various mobility providers via a single app
- 32 vacation days with the option to purchase additional days
- Personal well-being budget for physical and mental health
- Access to the well-being platform OpenUp
- Challenging and meaningful client assignments
- Use of leading technology like AI tools
- Learning from experts
- Coaching support
- Inclusive team environment
- Flexibility for hybrid working where possible
About the Company
- PwC operates a high-performance organization within a global network.
- PwC offers a collaborative environment with ambitious colleagues and recognition for contributions.
- PwC works on challenging and meaningful client assignments using leading technology.
- PwC fosters an inclusive team environment focused on making a real impact.
Equal Opportunity
- PwC explicitly invites individuals with non-standard backgrounds or career paths, including career changers, those who learned the trade in practice, and candidates with international education.
- PwC accommodates necessary adjustments in the application process, such as extra time or a different interview format.