Artificial Intelligence

• Audit manual workflows across accounting, purchasing, operations, customer service, marketing, catalog management, and reporting
• Identify, prioritize, build, and implement AI-powered automations
• Automate accounting workflows, beginning with credit card reconciliation
• Consolidate data from 7–8 sources into a reporting layer
• Automate invoice reconciliation between order management software and QuickBooks
• Own and improve an AI-powered customer-support ticketing agent
• Expand the support agent’s knowledge library and tune its auto-response success rate
• Clean and maintain a product catalog containing tens of thousands of SKUs
• Build tools or AI agents for product listing creation and catalog maintenance
• Connect sales history and inventory data to improve purchasing and reorder decisions
• Develop reporting on product sales velocity and inventory reorder timing
• Support non-technical team members with AI-powered solutions and enablement
• Use AI coding assistants such as Claude Code to build and ship internal tools
• Work directly with department leads to scope and prioritize automation projects
• Determine workflows, data sources, and prompts for each solution
• Own projects end to end, including audit, development, rollout, and adoption
• Work independently with minimal oversight
• Meet with every department during the first 30 days and deliver a prioritized automation roadmap to the founder

AI Workflow Specialist

• 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

AI Enablement Facilitator

• Build a diligence data room for seller-uploaded incorporation documents, financials, and reports
• Build notifications identifying when a data room is complete or stalling
• Build a target-analysis tool for summarizing practice financial and business information
• Support a target-identification tool for finding practice owners to approach
• Connect meeting transcripts to the priority tracker as tentative tasks
• Implement human approval before tasks are added to the tracker
• Build a live brand rollout tracker for eight to ten specialty brands
• Track brand names, logos, colour systems, websites, signage, patient-facing collateral, ad creative, owners, statuses, and launch blockers
• Build a brand asset engine generating channel-specific advertising and design creative at volume
• Include human approval before publishing brand assets
• Build REST API integrations with OAuth2, pagination, rate limits, retries, and idempotency
• Work with the outsourced IT provider to obtain system access without disrupting the environment
• Develop with Microsoft 365, Graph API, SharePoint, Power Automate, Entra ID, and permission scopes
• Use Git and CI pipelines with tests before deployment
• Write, review, and debug production Python or TypeScript code
• Design and query SQL databases and reconcile disagreeing data sources
• Build React or equivalent front ends
• Deploy cloud applications, preferably on Azure
• Build production LLM workflows with structured outputs, tool calling, document retrieval, and prompt versioning
• Process PDFs and spreadsheets at volume, using OCR and extracting financial data
• Apply secrets management and least-privilege service accounts
• Later support cash-flow forecasting and intercompany reconciliation after the FP&A platform launches

Artificial Intelligence jobs in Ethiopia

AI Workflow Specialist

AI Enablement Facilitator

AI Forward-Deployed Engineer