Solution Architect

• Own cross-pillar architectural integrity and AFS-Innodata interface coordination across the 24-week program
• Design and stand up the DataCard governance framework: schema design, distribution-statement methodology (DoD Dir. 5230.24), provenance lineage
• Deploy and configure ZenML multi-cloud orchestration stack per Innodata Layer 2 Multi-Cloud Architecture v3
• Design taxonomy engine and sequestration controls architecture
• Confirm NIST SP 800-53 Rev 5 control split between Innodata data-layer and AFS infrastructure-layer scope
• Lead platform component run books and per-DataCard documentation in Phase E
• Coordinate with AI Solutions Engineer on Kubernetes-adjacent data-layer DLP policy configuration
• Coordinate with Backend Engineer on Databricks write-back schema and DataCard write-back path

• Bachelor's degree in Computer Science, Data Engineering, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
• 10+ years total professional experience, 6+ years in data architecture or platform engineering
• Databricks, Delta Lake, and MLflow — hands-on implementation experience, not conceptual
• Data governance frameworks: DataCards, provenance, lineage, distribution statement controls
• ZenML or equivalent ML orchestration tooling (Airflow or Prefect acceptable; must be willing to ramp ZenML quickly)
• Working knowledge of IL4/IL5 boundary concepts, NIST SP 800-53 Rev 5, and DoD data classification requirements
• Active Secret clearance with TS/SCI eligibility

• Prior Innodata or annotation platform architecture experience
• MLflow model governance and registry hands-on experience
• Ontology and taxonomy design for AI/ML training datasets
• DoD Directive 5230.24 distribution statement implementation experience

The expected hourly salary range for this position is $70 to $75 p/hour, based on experience, skills, and qualifications.

Note to Candidates:

This role is the primary technical decision-maker on the program below the Delivery Owner.

The SA is expected to make architectural calls independently within the established framework and surface only unresolved cross-cutting decisions to the Delivery Owner.

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