AI Domain Architect

Distro
Nairobi
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Technical judgment","Cross-team influence","Clear technical writing","Risk awareness","Proof-of-concept to standardization"]

Build the domain intelligence layer that lets AI systems correctly understand and reason about PEO and HCM. Own the canonical ontology, agent workflow modeling, fine-tuning strategy, and an intelligence pattern library—then translate concepts into working proof-of-concepts and published standards. Partner with product teams from design through go-live, advise on feasibility and risk, and serve as the escalation point for domain-AI design decisions.

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FursaFursa
Distro
Distro
16 hours ago

AI Domain Architect

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build the domain intelligence layer that lets AI systems correctly understand and reason about PEO and HCM. Own the canonical ontology, agent workflow modeling, fine-tuning strategy, and an intelligence pattern library—then translate concepts into working proof-of-concepts and published standards. Partner with product teams from design through go-live, advise on feasibility and risk, and serve as the escalation point for domain-AI design decisions.
Location: Nairobi
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the canonical ontology spanning PEO/HCM domain entities, relationships, business rules, and terminology across platforms.
  • •Model agent workflows by decomposing business processes into agentic steps with tool boundaries, decision points, escalation paths, and human-in-the-loop checkpoints.
  • •Define and govern fine-tuning strategy, including when to fine-tune vs retrieve vs prompt, plus dataset curation and evaluation harnesses.
  • •Create and validate an intelligence pattern library with retrieval strategies, reasoning templates, agent scaffolds, and validation guards with documented failure modes.
  • •Partner with product teams from design through go-live, advise on feasibility and risk, and provide escalation and standards conformance recommendations to the AI Domain Committee.

Pay and Benefits

Perks:Health Insurance

Key Requirements

  • •8+ years building production software, including time at staff, principal, or architect scope where other teams depended on your work.
  • •Practical experience designing ontologies, knowledge graphs, or canonical domain models that shipped in production.
  • •Hands-on experience with LLM-based or agentic systems you’ve built and understanding where they break.
  • •Experience with fine-tuning, RAG, or model evaluation pipelines, with judgment on what approach to use.
  • •Hands-on experience with Microsoft Foundry and Azure for deploying and evaluating AI workloads.
Experience:8+ yearsPEOHCMPayrollBenefitsWorkers' compensationSaaSMulti-tenantLLM-based systemsAgentic systemsFine-tuningRAGModel evaluationOntology/knowledge graphSOC 2ISO 27001
Skills:Technical judgmentCross-team influenceClear technical writingRisk awarenessProof-of-concept to standardization
Tech Stack:LLMsAgentic systemsFine-tuningRAGModel evaluation pipelinesMicrosoft FoundryAzureOntologyKnowledge graphsSemantic layerOWLRDFSHACLProperty graphsMicrosoft Agent FrameworkMCPSnowflake Cortex AIAgent workflow modelingTool-use orchestrationDataset curation

Company Brief

Distro
Provides a SaaS platform to simplify app distribution and release management, helping developers and teams build, share, and deploy mobile and web app builds to testers and stores.
Industry: Developer Tools
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