AI SDLC Engineer integrating modern AI tooling into the full Software Development Life Cycle at Quento Technologies S.A. Collaborating with teams to enhance product development and delivery.
About the role
- Director of AI Data Platform at Zartis, shaping data infrastructure for next-gen AI solutions. Leading development, governance, and operational excellence in AI data readiness processes.
Responsibilities
- Lead the development of a core AI Data Readiness platform that transforms fragmented enterprise data into clean, governed, and discoverable assets ready for AI consumption.
- Serve as the primary architect of the data-to-AI lifecycle, ensuring both structured and unstructured data assets are AI-ready from day one.
- Oversee the end-to-end processing lifecycle—including ingestion, parsing, and enrichment—to guarantee the accuracy and governance of all published assets.
- Define standards and tooling for ingesting data from client systems (batch and streaming).
- Build reusable connectors and canonical schemas to eliminate redundant, project-specific custom work.
- Implement Data Contracts with upstream systems and downstream consumers to guarantee data integrity.
- Establish automated validation gates for completeness, consistency, anomaly detection, and drift monitoring.
- Ensure “Governance by Default,” including PII detection/redaction, encryption, and audit trails for GDPR and AI Act compliance.
- Define and maintain SLAs/SLOs for ingestion pipelines (freshness, uptime, failure rates).
- Optimize cloud-native infrastructure costs and implement robust monitoring and incident playbooks.
- Serve as the lead architect for enterprise customers, designing high-performance AI data readiness strategies aligned with business goals.
- Scale a specialized team of data and platform engineers.
- Provide documentation, standards, and self-service capabilities for cross-functional teams.
Requirements
- 10+ years of experience in data-heavy engineering or platform environments
- 2+ years leading platform or data engineering teams
- Proven track record of delivering reusable internal data capabilities rather than one-off pipelines
- Strong software engineering foundation with a platform mindset
- Advanced Database Expertise
- Mandatory experience with Vector Databases such as Pinecone, Milvus, or Weaviate
- Proven ability to structure enterprise data for LLMs, including chunking, enrichment, embedding, and relationship mapping
- Deep expertise in SQL, ETL/ELT, and data modeling
- Strong experience with parsing, OCR, metadata enrichment, and unstructured pipelines
- Experience with cloud-native architectures (Containers, IaC)
- Strong operational mindset across monitoring, alerting, and cost management
- Strong proficiency in LLM concepts and AI-ready data design
- Nice to Have: Knowledge graph design and hybrid retrieval systems
- Experience advising enterprise customers on AI transformation
- Background in highly regulated industries (finance, healthcare, energy)
Benefits
- 100% Remote Work
- WFH allowance: Monthly financial support for remote working
- Career Growth: Established career development program with 360º feedback to support progression
- Training: Weekly allocated time for learning, including online courses (Pluralsight, Educative.io), English classes, books, conferences, and events
- Mentoring Program: Opportunities to mentor, be mentored, or both
- Zartis Wellbeing Hub (Kara Connect): Access to mental health professionals, nutritionists, physiotherapists, fitness coaches, and wellbeing webinars
- Multicultural working environment: Tech events, webinars, online team-building activities, and company celebrations
Job title
Job type
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Degree requirement
Tech skills
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