Principal AI Data Engineer — Remote (PT) / Hybrid (PL)

Philip Morris International; Kraków; Hybrid; PLN 295,000 - 360,000; Full time

Benefits offered by this job

Life and Health insurance

Employee Pension Plan

26 holiday days

National and international growthoppt.

Diverse and international work env.

Job summary

Philip Morris International seeks a principal-level data engineering leader to define AI data standards and grounding capabilities. You will guide data source choices, ensure quality, latency, and cost balance, and partner with engineering and data teams on governance and reproducibility.

The role focuses on secure, scalable data foundations and reusable enterprise AI components with cross-functional collaboration across engineering and data teams.

Qualifications

• Degree in Computer Science, IT, Software Engineering or a related discipline.
• Enterprise software engineering experience in cloud-native and 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 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.

Skills

Data standards

Enterprise software eng

AI data engineering

Data pipelines

Data contracts & schemas

Data lineage & provenance

Batch & streaming

CI/CD & production-readiness

Leadership & mentoring

Communication & collaboration

Education

Degree in Computer Science / IT / Software Engineering

Job description

Philip Morris International seeks a principal-level data engineering leader to define AI data standards and grounding capabilities. You will guide data source choices, ensure quality, latency, and cost balance, and partner with engineering and data teams on governance and reproducibility.

The role focuses on secure, scalable data foundations and reusable enterprise AI components with cross-functional collaboration across engineering and data teams.