Principal AI Data Engineer - Grounding & Data Standards

Philip Morris International; Albarraque; Remote; EUR 68,000 - 83,000; Full time

Benefits offered by this job

Life and Health insurance

Employee Pension Plan

26 holiday days

National and international growth

Diverse and international work environ

Job summary

Philip Morris International is seeking a principal-level leader to steer reusable enterprise AI data and grounding capabilities. You will help ensure AI solutions are built on secure, scalable, reliable data foundations.

Responsibilities include defining data contracts, reviewing pipelines, enhancing traceability and governance, and guiding cross-team data ownership. Remote-first with flexible patterns across Portugal and Poland. A strong emphasis on standards and production-readiness.

Qualifications

• Degree in Computer Science, IT, Software Engineering or a related discipline.
• Enterprise software engineering experience in cloud-native distributed systems.
• Hands-on enterprise AI data engineering, grounding and retrieval experience.
• Knowledge of data pipelines, contracts, schemas, lineage, provenance, metadata and quality controls.
• Experience with ingestion, indexing, chunking, embedding, retrieval and refresh patterns.
• Ability to assess relevance, freshness, scalability, latency, cost and access-control trade-offs.
• Experience with batch and streaming architectures, observability and recoverability.
• Strong secure software development, CI/CD, testing and production-readiness foundations.
• Proven technical leadership through standards, reviews, supplier assurance and remediation.
• Strong communication, cross-team influence, mentoring and documentation skills.

Responsibilities

• Define data engineering standards for AI data and grounding capabilities.
• Review supplier designs, code, schemas, transformations and evidence.
• Guide decisions on data sources, freshness, quality, cost and latency.
• Improve traceability, permissions, lifecycle controls and readiness across shared assets and AI solutions.
• Align data standards, dependencies and ownership boundaries across engineering and data teams.
• Define standards for data contracts, ingestion, transformation, indexing, grounding and refresh patterns.
• Review supplier pipelines, code, schemas, retrieval configurations, lineage and quality evidence.
• Assess source suitability, freshness, retrieval relevance and downstream AI behavior.
• Set expectations for permissions, access controls, retention and deletion across sources, indexes and caches.
• Partner with Quality and Testing to assess completeness, validity, provenance and reproducibility.
• Review readiness for schema changes, refresh failures, recoverability and operational handover.
• Turn findings and incidents into improved standards, guidance and reference patterns.

Education

Bachelors in Computer Science (B.Sc.), IT, or related

Job description

Philip Morris International is seeking a principal-level leader to steer reusable enterprise AI data and grounding capabilities. You will help ensure AI solutions are built on secure, scalable, reliable data foundations.

Responsibilities include defining data contracts, reviewing pipelines, enhancing traceability and governance, and guiding cross-team data ownership. Remote-first with flexible patterns across Portugal and Poland. A strong emphasis on standards and production-readiness.