AI SME (Subject Matter Expert)

🏢 MaxAccelerate
📍 Dubai, United Arab EmiratesFull-timeRemote
📅 Posted: 6mo ago🔄 Updated: 6mo ago
CV%
✨ AI Summary
We are seeking an AI Subject Matter Expert (SME) to design, prototype, and deploy enterprise-grade AI agent systems. You will lead technical architecture for multi-agent AI deployments, build production-ready automations, and integrate AI solutions with CRM platforms such as Salesforce, Dynamics, HubSpot, and Zoho. The role emphasizes hands-on development, architecture scalability, and translating complex AI capabilities into tangible business outcomes. Candidates should have 1–2 years of hands-on AI agent experience with demonstrable prototypes and a strong ability to operate in a fast-moving innovation environment.
Required Skills
Information Technology
AI IntegrationEnterprise Architecture
Nice to have:
Business, Sales & Management
HubSpot
Description
MaxAccelerate AI Labs Division Location: UAE / Europe / Remote (Flexible) Reports to: Group CEO / Head of InnovationAbout MaxAccelerate AI LabsMaxAccelerate AI Labs is the innovation division of MaxAccelerate Technology Group, focused on designing and deploying next-generation AI automation ecosystems for enterprise clients.We are building intelligent AI Agents that integrate across CRM platforms such as Salesforce, Microsoft Dynamics, HubSpot and Zoho — transforming Sales, Recruitment, Customer Service and Executive Intelligence operations.Our objective is to build a catalogue of production-ready AI solutions and an AI Academy for enterprise deployment.We are now seeking an AI Subject Matter Expert (SME) to lead technical architecture, prototyping and deployment of AI agent systems.The RoleThis is a hands-on technical role. You will be responsible for:• Designing and deploying enterprise-grade AI agent systems • Building working prototypes and production-ready AI automations • Selecting and implementing best-in-class AI models and frameworks • Architecting multi-agent workflows • Integrating AI into CRM and business systems • Supporting the creation of modular AI solutions for repeatable deploymentThis is not a management-only role. We are looking for someone who actively builds.Key ResponsibilitiesAI Agent Design & DeploymentDesign, build and optimise:• AI Sales Agents (SDR automation, lead qualification, CRM updates) • AI Customer Service Agents (ticket triage, response drafting, sentiment analysis) • AI Recruitment Agents (CV screening, candidate scoring, AI interviewers) • AI Executive Insight Agents (KPI summaries, reporting automation)Experience required in:• Multi-agent systems • Tool / function calling • Retrieval-Augmented Generation (RAG) • Memory systems and vector databases • Workflow orchestration for AI agentsLLM & Model ExperienceHands-on experience with:• OpenAI ecosystem (production or prototype deployments) • Anthropic Claude • Google Gemini • Azure OpenAI • Open-source LLMs (Llama, Mistral or similar) • Structured outputs and guardrails • Model selection based on use case, latency and costCRM & System IntegrationsExperience integrating AI systems with:• Salesforce (preferred but not essential) • Microsoft Dynamics • HubSpot • ZohoUnderstanding of:• REST APIs • OAuth authentication • Webhooks • Automation tools (Make, Zapier, n8n or similar)Salesforce CRM experience is preferred but not essential.AI Data & Knowledge ArchitectureExperience with:• Vector databases (Pinecone, Weaviate, Chroma or similar) • Knowledge retrieval systems • Semantic data structuring • Business data modelling for AI use casesConversational & Voice AIExperience with:• Conversational AI frameworks • AI voice agents • Speech-to-text and text-to-speech systems • Telephony or real-time AI integrationsGovernance & Responsible AIKnowledge of:• Data governance principles • Prompt injection mitigation • AI monitoring and evaluation • Responsible AI deploymentCandidate Requirements• 12–24 months hands-on experience building AI agents or AI automation systems • Proven working prototype examples of AI agents already built and deployed (must be able to demonstrate) • Strong systems-thinking and architecture mindset • Comfortable operating in a fast-moving innovation environment • Commercial awareness and ability to translate technical solutions into business outcomesThis role is suited to a builder who has already created real AI agents and wants to scale that experience into enterprise-grade deployments.What You Will Help Build• A full AI Agent Ecosystem • A catalogue of modular AI automation solutions • Enterprise-ready AI deployment frameworks • AI training and enablement programmesIf you have already built AI agents and want to help architect and scale a dedicated AI Labs division, we would like to hear from you.Please apply with:• Your LinkedIn profile • A short summary of AI agents you have built • Links, demos or documentation of prototype systemsIf you’d like, I can now:• Make a shorter recruiter-friendly LinkedIn ad version • Add compensation band positioning • Write a direct message template to attract candidates • Or structure an interview scoring framework for this roleWhat stage are you at — posting publicly or targeting specific profiles?
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00