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AI Content Optimization Engineer

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Tier4 Group

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Location:
United States , Milwaukee

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We’re seeking a hands‑on technical contributor to modernize HR content for AI‑powered employee experiences. This role focuses on transforming unstructured HR content into governed, AI‑ready knowledge assets that enable accurate, compliant retrieval at scale. You’ll partner with architecture, engineering, AI, legal, security, and HR teams to design content pipelines, retrieval architectures, and evaluation mechanisms that improve trust, accuracy, and self‑service outcomes.

Job Responsibility:

  • Design and implement pipelines to ingest, structure, and index HR content for AI retrieval
  • Transform policies, SOPs, FAQs, and guides into structured or semi‑structured, AI‑ready formats
  • Apply semantic chunking, embeddings, versioning, and indexing techniques
  • Implement metadata standards, taxonomy, and content classification
  • Translate governance and compliance requirements into enforceable system rules
  • Enable privacy‑safe retrieval (RBAC, PII handling, audit logging)
  • Evaluate retrieval quality using metrics such as precision, recall, and answer faithfulness
  • Instrument logging and observability to improve content health and retrieval accuracy
  • Support pilots, launches, and scaling of AI‑enabled HR content experiences

Requirements:

  • Hands‑on experience delivering AI‑ready content or retrieval systems in an enterprise environment
  • Strong knowledge of: Information architecture and content structuring
  • Metadata, taxonomy, and content classification
  • Retrieval‑augmented generation (RAG) or enterprise search
  • Experience with semantic chunking, embeddings, and indexing
  • Familiarity with privacy‑safe AI patterns and governance controls
  • Ability to operate as a lead contributor in cross‑functional teams

Nice to have:

  • Vector search, AI evaluation metrics, or content health monitoring
  • Knowledge graphs or graph‑based retrieval (GraphRAG)
  • Search relevance tuning or pipeline instrumentation
  • Cloud‑native platform integration experience
What we offer:

free daily lunch when onsite

Additional Information:

Job Posted:
April 01, 2026

Work Type:
Hybrid work
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