16 days ago
Amsterdam, NetherlandsStaff+
Responsibilities
- Lead end-to-end delivery of AI and data solutions from solution architecture through production and stabilization.
- Translate client goals, business objectives, and architecture into executable technical delivery plans.
- Provide technical direction, coaching, review, and unblock engineering teams without formal people-management responsibility.
- Establish and enforce standards for code quality, evaluation, testing, CI/CD, security, Responsible AI, observability, and documentation.
- Manage technical, governance, scalability, performance, maintainability, cloud-consumption, model-cost, and token-cost risks.
- Oversee release readiness, go-live, handover, and ongoing manageability of client solutions.
- Collaborate with architects and client stakeholders in architecture, security, risk, and compliance.
Requirements
- Extensive experience in software, data, cloud, or AI engineering, including at least two years in a technical leadership role.
- Experience helping complex technical solutions progress from design to production.
- Understanding of modern AI systems and production contexts, including LLMs, RAG, agentic AI, MLOps or LLMOps, APIs, data pipelines, and cloud platforms.
- Production experience with Python, LLM applications, RAG and/or agentic systems, and at least one cloud platform, commonly Azure.
- Ability to provide technical direction, coach engineers, conduct effective reviews, and drive shared responsibility for quality and delivery.
- Ability to explain complex technical trade-offs involving feasibility, risk, cost, and maintainability to engineers and senior client stakeholders.
- Technical higher-education level, or an equivalent level built through experience.
- Strong English communication skills and important working proficiency in Dutch.
- Preferred experience includes AI-output evaluation, evaluation harnesses, regression testing, GenAI observability, OpenTelemetry, LangFuse, MLflow, cost monitoring, on-premises or private cloud infrastructure, and governance practices such as guardrails, auditability, and EU AI Act considerations.
Benefits
- Competitive salary appropriate to experience, with growth opportunities.
- Permanent employment contract from the start.
- Training, leadership development, certifications, and opportunities to build AI expertise.
- Choice of an electric lease car or mobility allowance, plus 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, leading AI technologies, coaching, and an inclusive global network.
- Work at client sites and offices with hybrid flexibility where possible.
Tech Stack
Categories
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.