Agentic AI Principal
ThoughtWorks3 days ago
Amsterdam, NetherlandsStaff+
Responsibilities
- Shape and solution complex agentic AI pursuits with account, commercial and delivery leaders across Germany, the Netherlands and the DACH region.
- Lead C-suite engagements, AI maturity assessments, business-outcome definition and commercial solution shaping.
- Set architecture direction for production-grade agentic AI systems, including multi-agent workflows, orchestration, tool use, memory, retrieval, evaluation, observability and enterprise integration.
- Integrate agentic systems with SAP, LIMS, QMS, clinical, manufacturing, industrial and legacy back-office systems.
- Design sovereign, secure, privacy-preserving and compliant solutions for German and EU regulated environments.
- Establish reusable patterns for governance, auditability, traceability, observability, safeguards and reliable production operation.
- Provide technical and delivery leadership across multidisciplinary programmes while remaining hands-on enough to validate architecture and unblock teams.
- Translate EU AI Act obligations and sector requirements into practical engineering controls and evidence.
- Set technical direction across multiple teams, mentor senior engineers and technical leads, and raise agentic engineering standards.
- Grow Thoughtworks' German and Dutch market presence through thought leadership, partnerships, ecosystem initiatives and community events.
Requirements
- Deep expertise in modern software engineering and Python, with a strong record of setting standards for testing, CI/CD, observability, maintainability and production reliability.
- Recognised experience architecting and delivering complex GenAI and agentic AI systems at enterprise scale from discovery through production.
- Deep knowledge of agentic frameworks such as LangGraph, AutoGen, CrewAI and LlamaIndex, including orchestration, tool use, memory, multi-agent coordination, MCP and A2A.
- Strong expertise in Retrieval-Augmented Generation, advanced information retrieval, vector databases and enterprise knowledge integration.
- Experience designing evaluation strategies covering quality, safety, reliability, latency and cost.
- Strong understanding of guardrails, red-teaming, observability, responsible AI, secure deployment, prompt injection, data leakage and tool misuse.
- Significant experience deploying AI systems on major cloud platforms using containers, orchestration, production infrastructure, sovereign cloud, hybrid or on-premises environments and self-hosted open-weight models.
- Experience with prompt and context engineering, fine-tuning where appropriate, model adaptation and application-level performance optimisation.
- Working knowledge of the EU AI Act, GDPR, GxP, GAMP 5, EU MDR/IVDR, EHDS, DORA, NIS2 and BaFin requirements as applicable.
- Healthcare or life sciences AI delivery experience is strongly preferred; SAP and industrial-system integration and data-platform experience are advantageous.
- Proven ability to lead C-suite engagements and shape, sell and deliver complex data and AI deals, including €3M–5M+ pursuits and €5M+ deals.
- Experience solutioning, selling and delivering €10M+ annual total contract value in Data & AI deals with an AI-first delivery focus.
- Recent consultancy or professional-services experience, ideally with German, Dutch or DACH enterprise clients.
- Experience growing a practice, capability or go-to-market asset such as a reusable accelerator.
- Proven leadership of complex multidisciplinary delivery, stakeholder influence without formal authority and mentoring of senior technical staff.
- German at B2 minimum, with C1 strongly preferred; fluent English; Dutch is a plus.
Benefits
- Career development is supported through interactive tools, development programmes and a cultivation culture.
- Hybrid working is indicated by the #LI-Hybrid designation.
- Employees have autonomy in shaping their career path while receiving support from colleagues and structured development resources.
Tech Stack
Categories
About ThoughtWorks
Thoughtworks is a global technology consultancy that designs and builds custom software, data platforms, and cloud-native systems for enterprises across industries. Its services-based model spans product discovery, agile delivery, platform modernization, and advisory on digital transformation and AI. Founded in 1993 and headquartered in Chicago, it listed on Nasdaq in 2021 (TWKS) and remains backed by private-equity firm Apax Partners.