Forward Deployed Engineer - Data Management

About the role

Systems Ltd is seeking a Forward Deployed Engineer specialized in Data Management to make enterprise data and knowledge usable by AI. You will build AI‑ready data pipelines, knowledge graphs, and retrieval infrastructure that serve multiple internal practices.

Key responsibilities

• Design and implement AI‑ready data pipelines and reusable data products.
• Create and maintain knowledge graphs and semantic layers for enterprise knowledge.
• Own vector and retrieval infrastructure, including embeddings, ANN indexes, and hybrid search.
• Run data quality assessments and remediation focused on AI/ML consumption.
• Partner with GenAI Engineers, Data Scientists, and AI Architects to expose curated data as reusable assets.
• Explain BI‑grade vs AI‑grade data quality to non‑technical stakeholders.
• Manage competing requests from multiple practices and document assets for self‑service reuse.

Required profile

• 5–10+ years of data engineering experience, with at least 2 years building AI‑ready data products.
• Strong collaboration skills with GenAI Engineers, Data Scientists, and AI Architects.
• Ability to prioritize and transparently manage upstream dependencies.
• Experience with enterprise data governance and lineage tooling.

Required skills

• Knowledge graph technologies (Neo4j, RDF, SPARQL or similar).
• Semantic/ontology modeling.
• Vector/retrieval infrastructure (embeddings, ANN indexes, hybrid search).
• Data pipeline tools (Spark, dbt, Airflow or similar).
• Data quality frameworks.
• Enterprise data governance and lineage tools.