Artificial Intelligence

• Encode PEO and HCM domain meaning so AI capabilities reason correctly about the business
• Own the domain intelligence layer, including ontology, agent workflow models, fine-tuning strategy, and intelligence pattern library
• Build and govern a canonical ontology spanning PrismHR platforms, entities, relationships, business rules, and terminology
• Model business processes as agentic workflows with tool boundaries, decision points, escalation paths, and human-in-the-loop checkpoints
• Define when to fine-tune, retrieve, or rely on prompting
• Establish dataset curation standards for labeling, provenance, retention, and residency
• Develop domain-specific evaluation harnesses for PEO and HCM accuracy
• Build and document retrieval strategies, reasoning templates, agent scaffolds, and validation guards
• Prove patterns through working proof-of-concepts before publishing them as standards
• Engage product teams from design through go-live
• Advise on use-case feasibility and risk
• Act as escalation point for domain-AI design questions
• Contribute to standards conformance decisions and recommendations to the AI Domain Committee

AI Domain Architect

• Present free AI diagnoses to CEOs or COOs as findings and convert credibility into paid Leadership Intensives
• Run the close with the account executive, owning the narrative and the ask
• Facilitate deep-dive sessions inside client systems and data to identify ranked AI opportunities
• Lead hands-on build sessions where executives create clickable first versions using their own data and AI tools
• Teach AI concepts, build-versus-buy-versus-hire considerations, and routine-versus-judgment distinctions
• Manage deliverables between sessions, including data exports and input from client leaders
• Deliver approximately 70% fixed, reusable Intensive content and 30% client-specific content
• Co-present 90-day technical roadmaps with senior engineers and close pod engagements
• Position client-managed pods, fully managed pods, on-call senior support, and credited Intensive fees correctly
• Handle objections regarding in-house hiring, nearshore talent, and implementation risk
• Provide weekly structured feedback to diagnosis systems, decks, playbooks, and close scripts
• Record sessions with consent, tag important moments, and support facilitator onboarding
• Help define hiring standards and train future facilitators
• Deliver two to three Intensive sessions, one or two diagnosis presentations, and one roadmap close in a typical week
• Run the full client-facing arc and meet conversion, session-quality, deal-durability, and machine-contribution targets

Artificial Intelligence jobs in Kenya

AI Domain Architect

AI Enablement Facilitator