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Lead Product Software Architect (AI & Data)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead Product Software Architect (AI & Data): Building AI-powered capabilities and an AI-ready product data platform for cloud accounting software with an accent on end-to-end architecture, governed data estates, and production-grade AI delivery. Focus on modernizing schemas and pipelines, operationalizing MLOps/LLMOps, and designing secure, observable, scalable AI systems for regulated customer-facing products.
Location: Hoevelaken, Netherlands; hybrid working with up to 2 office days per week
Company
provides expert software and information solutions across regulated industries; the role supports Twinfield, a cloud-based accounting platform for businesses and accounting professionals.
What you will do
- Define end-to-end architectures for customer-facing predictive ML, recommendation, GenAI, and agentic workflow capabilities.
- Modernize legacy data estates using governed, scalable patterns such as lakehouse, data mesh, curated layers, data products, and contracts.
- Establish integration patterns across product services, data systems, APIs, events, and model or agent serving components.
- Define reusable MLOps and LLMOps standards for feature stores, model registries, experiment tracking, promotion workflows, monitoring, and retraining.
- Embed responsible AI, privacy, security, auditability, and compliance controls into the AI and data lifecycle.
- Lead through architecture reviews, mentoring, coaching, and pragmatic communication with product, engineering, security, privacy, legal, and leadership stakeholders.
Requirements
- 8–12+ years of experience building and evolving complex software products, including required SaaS or distributed-systems experience and architectural leadership.
- Production experience integrating AI/ML or GenAI into customer-facing software, including monitoring and operations.
- Hands-on experience with data modeling, integration, pipelines, lineage, scalable storage and compute, data quality, metadata, and discoverability.
- Strong understanding of data governance, data products and contracts, canonical models, semantic patterns, and event-driven or streaming architectures.
- Practical DataOps/MLOps experience with environments, CI/CD, promotion gates, drift detection, rollback, incident patterns, and operational monitoring.
- Experience designing secure AI systems and producing architecture blueprints, specifications, ADRs, and reference implementations.
Nice to have
- Experience delivering lakehouse or data mesh transformations at scale with strong governance and catalog patterns.
Culture & Benefits
- 36–40-hour working week with flexible working hours.
- 25 vacation days based on a 40-hour work week.
- reimburses 50% of the pension contribution.
- Informal, collaborative working environment with regular events.
- Company-provided daily lunch buffet, fresh fruit, and coffee.
Hiring process
- Interviews are conducted without AI tools or external prompts and may include in-person participation.
- Applicants may be required to appear onsite at a office during the recruitment process.
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