Knowledge Engineer
Quick Summary
design and maintain minimum viable ontologies
Skills:Artificial Intelligence (AI), Knowledge Engineering,
Clearance Level Must Currently Possess:
Top Secret/SCIClearance Level Must Be Able to Obtain:
Top Secret/SCIJob Family:
IT Infrastructure and OperationsRequirements
~1 min read· Bachelor’s Degree (mandatory) — DEOS contract requirement; no substitutions allowed.
· 10+ years of experience in knowledge management, process engineering, or closely related fields.
· Experience leading cross‑functional teams in DoW or IC environments.
· Hands‑on configuration skills in Microsoft 365: SharePoint administration, Power Automate workflows, and Teams governance (must be able to build, not only advise conceptually).
· Experience within U.S. military headquarters or Joint Staff directorates; understanding battle rhythm, command processes, and operational documentation.
· Demonstrated ability to lead change and facilitate adoption among senior stakeholders (O‑6/SES).
· Practical experience with ontologies, metadata standards, and workflow digitization.
· U.S. Citizenship; eligible for SOFA status and required country clearances.
· DOW Security Clearance: TS/SCI
· Experience with Power Apps or Power BI for dashboards and decision support.
· Familiarity with CDAO/CKDP frameworks, DEOS enterprise services, and DoD records management.
· Background in knowledge engineering frameworks, semantic technologies, or content modeling.
· Experience supporting data ingestion, tagging, and interoperability across MSS, WDP, or similar analytical platforms.
Less than 10%Job Description:
The Knowledge Engineer (KE) is embedded within a USAFRICOM Directorate to support CDAO’s mission of enabling digital modernization and accelerating AI/ML adoption across the AFRICOM enterprise. KEs document, digitize, and optimize command workflows; design and standardize semantic ontologies; and configure out‑of‑the‑box Microsoft 365/DEOS capabilities to improve data accessibility, operational efficiency, and decision advantage.
Responsibilities
~1 min read· Map, baseline, and digitize existing command workflows and Joint Staff standards.
· Identify bottlenecks using process intelligence methods and develop versioned workflow diagrams.
· Transition manual processes into automated or semi‑automated digital workflows using Agile implementation practices.
· Conduct semantic orchestration: design and maintain minimum viable ontologies in standard formats (OWL, RDF, SKOS).
· Ensure documentation, models, and related data products adhere to metadata standards for seamless integration into MSS and WDP.
· Prepare ontologies and models so AI agents and LLMs can access authoritative, secure data for decision support tools, dashboards, and predictive analytics.
· Train Knowledge Managers and functional users on metadata practices, knowledge capture methods, and modern collaboration/data platforms (Microsoft 365, Databricks, Palantir).
· Promote data literacy and adoption of new digital workflows across Directorates.
· Review technical work packages for accuracy, completeness, and adherence to governance standards.
· Evaluate scope and dataflow functionality through digital capture tools (e.g., JIRA, Slack or similar) and ensure delivery of Minimum Viable Product (MVP) increments aligned with stakeholder needs.
Note: Percentages may shift with mission requirements
Work Location:
InternationalAdditional Work Locations:
Location & Eligibility
Listing Details
- Posted
- September 23, 2026
- First seen
- September 30, 2026
- Last seen
- September 30, 2026
Posting Health
- Days active
- -1
- Repost count
- 0
- Trust Level
- 41%
- Scored at
- September 30, 2026
Signal breakdown
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