AI Solutions Implementation Lead, Kenya

About Lua Lua is the Agent OS. We build digital employees — agents that do a real job end to end: they read a company’s own systems, make the decision, take the action, and get a little better every time they run. Not chatbots that answer questions — digital workers that do the work, on the company’s own data and workflows, and everything they build stays owned by the business. Teams write their logic on Lua (agents, skills, tools, jobs, webhooks, guardrails) and we run the hard parts underneath: infrastructure, multi-provider model orchestration, data, channels (WhatsApp, Slack, Email, Instagram, Messenger, a voice-capable website widget, HTTP API) and monitoring. Our customers are the companies that run their markets — the operator of one of the world’s most-visited heritage sites, a major travel-and-hospitality group, the largest supermarket chain in its country, a listed conglomerate spanning healthcare and consumer goods, large regional banks, social-commerce companies and a microinsurer covering over a million people — across Africa, the Middle East and South Asia. Together they employ 64,000+ people and turn over $5bn+ a year, and they all want the same thing: to be AI-native on the systems they already run, with nothing to rip out. Backed by Y Combinator, we’ve raised $5.8M — and this is a chance to build the playbook, not inherit one. Responsibilities When a client signs in East Africa, someone has to turn that into a live, adopted, working system — and that’s you. This is not a generic project management role: you sit between client executives, operations teams and Lua’s product and engineering teams. You are technical enough to read, test and troubleshoot the implementation itself, and you own each engagement from discovery through to deployment and adoption. • Run discovery. Lead client audits, discovery sessions and technical workshops; map workflows, systems, data and pain points, and identify the agent use cases actually worth building. • Translate business into build. Turn business problems into technical scopes, user journeys, success criteria and deployment plans, and design agent workflows with product and engineering. • Get hands-on. Configure, test and troubleshoot implementations on the Lua platform — tools, skills, integrations, webhooks, jobs, channels — and connect client systems: CRMs, ERPs, support tools, databases and APIs. • Own testing. Test agent outputs for accuracy, reliability, edge cases, permissions and escalation logic; run pilots, feedback loops and deployment sign-off. • Drive delivery. Manage timelines, dependencies, blockers and risks, and make sure clients provide the access, data and stakeholder input delivery needs. • Document and hand over. Produce implementation docs, process maps, SOPs, test plans and training guides; support onboarding, adoption and early usage monitoring. • Build the playbook. Turn every implementation into repeatable playbooks, templates and QA standards for Lua in East Africa. How the role is measured From day one: the quality of your audits, the clarity of your solution designs, the speed and reliability of deployments, client satisfaction and adoption, and pilots turned into repeatable implementation models. By day 90, you’ll have led at least one implementation from discovery through to pilot or deployment. What we’re looking for Must-haves • 7+ years in technical implementation, solution engineering, software delivery or technical consulting, including 3+ years hands-on with software systems, APIs and integrations. • Experience with AI tools, LLMs, agents, RAG or workflow automation in real deployments — and the testing discipline they demand: edge cases, permissions, escalation, production readiness. • You’ve worked directly with clients — discovery, workshops, solution design, testing, deployment, training — and can hold the room with executives and engineers alike. • High ownership. You move implementations forward without being chased, and bring structure to messy client environments — undocumented workflows, scattered data, teams that disagree on the process. Nice-to-haves • Experience implementing SaaS, CRM/ERP, customer service, fintech or enterprise software — ideally for banks, insurers, SACCOs, telcos, logistics, retailers or large service businesses in the region. • Strong working TypeScript or JavaScript : you can read, modify, test and troubleshoot implementation logic, agent tools, API calls and workflow code — plus REST APIs, webhooks, authentication and JSON payloads. • Exposure to OpenAI, Anthropic, Gemini, vector databases or agent frameworks; Python or SQL; automation tools like Zapier, Make or n8n; experience in a start-up environment.