AI Solutions Architect, Business Development Systems
Members only
Remote
Est. KES 250,000 – 400,000/moEst.
RemoteFull-timeMid-level
Posted today
What you bring
Required
3+ years of experience building and shipping internal systems, workflow automation, or AI-enabled tools in real organizational settings, with demonstrated recent experience deploying LLM-enabled workflows, RAG systems, agentic automation, or AI assistants that real users actually use.
Strong experience integrating productivity, CRM, and knowledge systems such as Google Workspace, Airtable, Slack, shared drives, email, CRMs, or document repositories, and a preference for designing on top of existing infrastructure rather than defaulting to custom builds.
Strong process and workflow design skills, including the ability to map how work actually happens, identify friction points, and design human-in-the-loop systems with approval gates, escalation paths, audit trails, and override mechanisms.
Demonstrated ability to drive adoption among non-technical users through discovery sessions, training, documentation, feedback loops, and iterative improvement.
Sound data-handling judgment, including PII awareness, access control, source traceability, confidentiality, and responsible use of third-party AI tools.
Strong written communication skills, including the ability to document technical designs, write SOPs, and produce handoff materials for non-technical stakeholders.
A pragmatic, build-and-ship orientation: comfort moving from ambiguity to working systems quickly, and willingness to sit with end users to understand their work before designing for it.
Preferred Qualifications
Experience working in or with donor-funded environments such as nonprofit, international development, journalism, media support, or civic technology, including familiarity with proposal operations, bid/no-bid workflows, donor compliance, capture planning, and partner coordination.
Experience with workflow automation platforms such as n8n, Zapier, Make, Airtable automations, or comparable tools.
Experience with RAG systems, vector databases, document retrieval, metadata design, or knowledge-base maintenance, particularly in contexts where keeping knowledge current is a design constraint.
Experience with document parsing of PDFs, DOCX files, donor solicitations, compliance matrices, and other unstructured content.
Experience with prompt evaluation, AI quality assurance, model testing, red-teaming, hallucination monitoring, or structured output validation.