• Design and document the secure-by-default reference architecture for AI workloads on Microsoft Azure, including identity, network isolation, secrets management, data boundaries, monitoring, and audit. • Architect and operate production AI workloads on Azure AI Foundry, including model deployment, evaluation, and monitoring. • Establish and operate an end-to-end AI governance framework — intake, risk classification, audit trail, and executive reporting — aligned to NIST AI RMF and ISO/IEC 42001. • Define the design and security standard for Model Context Protocol (MCP) servers — authentication, transport, tool surface, least-privilege exposure, and audit — and curate the approved tool library. • Design enterprise landing-zone and Well-Architected patterns for AI — subscription and management-group structure, policy guardrails, networking, and cost/quota strategy for Azure OpenAI and Foundry. • Implement identity and access architecture using Microsoft Entra ID, RBAC, managed identities, and conditional access, including on-behalf-of flows for agentic applications. • Define retrieval and data architecture patterns — RAG, Azure AI Search, embeddings, chunking, and retrieval-quality evaluation. • Apply AI governance tooling — Microsoft Purview, custom Azure Policy, and Defender for Cloud — to AI workloads for data classification and security posture management. • Document every AI workload in production — ownership, model, data, controls, evaluation, and runbook — so the platform is survivable and can be safely handed off. • Author architecture decision records (ADRs), architecture briefs, and board-ready risk language for executive, legal, and risk stakeholders. • Partner with the engineering team to onboard them against the reference architecture and tool library, and review designs for security and compliance. • Stay current with advancements in the Azure AI platform, agent frameworks, and AI governance standards, and apply this knowledge to improve our foundation. • Provide technical leadership and mentorship across the AI program. • Ensure compliance with data privacy, security, and AI governance requirements.

Role Description We're looking for a hands-on, AI-native Marketing Generalist to help bring a brand-new staffing product to market. This isn't a narrow specialist role; it's a do-everything builder who is dangerous with modern AI tools and can move fast across creative, web, social, and outbound. You'll work directly with the founder and leadership to turn a launch into pipeline. - Generate ad creatives, graphics, short-form video, and copy using AI tools (Midjourney, DALL-E, Canva AI, Runway, ChatGPT/Claude). - Build and launch conversion-focused websites and landing pages using AI-assisted, no-code/low-code builders (Webflow, Framer, Wix, WordPress). - Plan and run social media (LinkedIn, Facebook/Instagram), using AI to scale ideation, drafting, and scheduling. - Set up and manage Google Ads and Meta Ads accounts; build campaigns, audiences, and creative tests. - Help build and launch cold email and outbound campaigns: list setup, sequencing, copywriting, and deliverability basics (Instantly, Clay, Smartlead a plus). - Own go-to-market execution: brand assets, messaging, funnels, and the systems to capture and convert demand. Qualifications - Experienced generalist marketer (typically 4+ years) who has worn many hats across creative, web, paid, social, and outbound, ideally at a startup or agency. - Genuinely AI-proficient: you use AI tools daily and have a real workflow for them, not just curiosity. You can show us things you've built or shipped with AI. - A builder and self-starter who can take a vague goal and turn it into live assets without a lot of hand-holding. - Design-literate: you don't need to be a senior designer, but you have taste and can make things look good. - Strong written English and comfortable communicating async with a US-based team. - Based in or around Addis Ababa, Ethiopia. This is a remote role; you'll work US-friendly hours as needed. Nice to have - Experience marketing a B2B service, agency, or staffing/outsourcing business. - Hands-on with paid acquisition (Google/Meta) and basic analytics. - Familiarity with CRMs (e.g., Close, HubSpot) and marketing automation. - A portfolio or examples of AI-generated creative, sites, or campaigns. Benefits - Get in early on a new product launch and a new Addis Ababa team, with real ownership and room to grow. - Work directly with the founder; your work ships and matters. - Fully remote, with a leadership team that moves fast and embraces AI.

Role Description Für ein internationales KI-Forschungsprojekt mit einem führenden AI-Labor werden derzeit deutschsprachige Freelancer mit sehr guten Schreibfähigkeiten gesucht. In diesem Projekt unterstützt du die Entwicklung moderner Sprachmodelle, indem du strukturierte Aufgaben, Prompts und Bewertungskriterien erstellst. Besonders gefragt sind Personen, die: - komplexe Inhalte klar formulieren - sprachliche Feinheiten erkennen - strukturiert arbeiten Aufgaben: - Erstellung von Prompts und Musterantworten in Deutsch und teilweise Englisch - Formulierung klarer Aufgabenstellungen für KI-Systeme - Entwicklung von Bewertungskriterien und Qualitätsrichtlinien für Antworten - Testen und Bewerten von KI-generierten Texten hinsichtlich Qualität, Verständlichkeit und kultureller Passung - Mitwirkung an Qualitätssicherung und Benchmark-Prozessen für deutschsprachige Inhalte Dabei arbeitest du in einem strukturierten Projektumfeld mit klaren Richtlinien und Tools. Qualifications - Sehr gute Deutschkenntnisse auf muttersprachlichem Niveau - Gute Englischkenntnisse zum Lesen und Schreiben - Ausgeprägte Schreib- und Analysefähigkeiten - Strukturierte, eigenständige Arbeitsweise - Interesse an KI-Tools wie ChatGPT oder ähnlichen Anwendungen - Ein Studium (abgeschlossen oder laufend) ist von Vorteil, aber nicht zwingend erforderlich. Benefits - 100% remote - Zusammenarbeit auf Freelancer-Basis - ca. 20 Stunden pro Woche - Projektlaufzeit ca. 2 Monate oder länger - Strukturierte Projektumgebung mit klaren Aufgaben und Tools Die Tätigkeit eignet sich ideal für Freelancer, die gerne schreiben, analytisch denken und Interesse an KI, Sprache und digitalen Technologien haben. Company Description Wir konzipieren, strukturieren und begleiten digitale Projekte im Bereich Künstliche Intelligenz, Datenanalyse und technologiegestützte Content-Prozesse. Unser Fokus liegt dabei nicht nur auf der operativen Umsetzung, sondern vor allem auf einer klaren Projektarchitektur: Anforderungen werden präzise definiert, Workflows strukturiert aufgebaut und einzelne Module sinnvoll miteinander verzahnt. Gerade im KI-Umfeld entstehen Projekte häufig dynamisch – mit sich verändernden Datenlagen, iterativen Testphasen und skalierenden Aufgabenpaketen. Wir schaffen hier die notwendige Struktur, um aus komplexen Anforderungen umsetzbare, klar definierte Arbeitseinheiten zu entwickeln.

Role Description The AI Strategy Lead is the chief architect of use cases and AI solution logic within the practice. This person's purpose is to identify, scope, and design intelligent assistants and agents that solve specific business problems, ensuring that each solution has a sound strategy behind it. What You'll Do Here - Translate business objectives and pain points into concrete AI use-case definitions and agent logic. - Serve as a bridge between business needs and technical execution. - Act as the main point of contact for Skaled customers. - Work closely with the Practice Lead on vision and support go-to-market (GTM) efforts. - Collaborate with the Program Manager to ensure use-cases are delivered as envisioned. Key Responsibilities - Use-Case Discovery & Scoping: Engage with clients and internal stakeholders to uncover high-impact opportunities for AI assistants or agents. - Conduct workshops or interviews to understand business processes (especially in RevOps/GTM areas like sales, marketing, customer success). - Define clear use-case statements, including objectives, boundaries, and expected benefits. - Solution Design & Agent Logic: Design the AI agent's logic and ROI in detail for each approved use-case. - Outline how the assistant/agent will function, including triggers, data usage, steps performed, and interactions. - Create blueprints covering conversation/task flow and integration points for the AI Builder. - Feasibility Assessment: Work closely with technical team members to vet the feasibility of proposed solutions. - Ensure ideas are realistic given current AI capabilities and the client's tech environment. - Business Case & Value Definition: Articulate the expected business value of AI solutions in real ROI terms. - Create ROI estimates or business cases that justify the project. - GTM Support & Thought Leadership: Contribute to sales and marketing efforts by providing the strategic vision for AI offerings. - Develop example use-cases for proposals and demo AI assistant concepts to prospective clients. - Owns the client relationship and Collaboration in Delivery: Participate in key design review sessions and assist the Program Manager and Practice Lead in scope adjustments. - Support Testing & Iteration: Define test scenarios and success criteria based on intended use. - Gather feedback during user acceptance testing or pilot phases and adjust prompts or logic rules as needed. - Client Sign-off/Engagement Management: Own the client relationship, contributing to scoping and value discussions. Success Metrics - Effective Use-Case Conversion: Number of identified AI use-cases that successfully move from idea to delivered solution. - Business Impact of Solutions: Actual outcomes achieved by AI assistants/agents relative to expected benefits. - Client Satisfaction & Recognition: Client feedback on the quality of solution vision or logic. - Innovation & Reusability: Introduction of novel or improved AI approaches and reusable templates. - Collaboration Efficiency: Smoothness of project execution from a requirements/design standpoint. - Thought Leadership Output: Involvement in pre-sales and marketing efforts. Qualifications - 7+ years of experience in a consulting or solution architecture role (e.g., Solutions Architect, Business Analyst, or AI Strategist). - Solid domain knowledge in Revenue Operations (RevOps) or Go-to-Market (GTM) processes. - Up-to-date, practical knowledge of AI and Large Language Model (LLM) capabilities. - Demonstrated ability as a strong analytical thinker and communicator. - A history of creative problem-solving with the ability to identify and frame unconventional AI-based solutions.