AI SME (Subject Matter Expert)

MaxAccelerate AI Labs DivisionLocation: 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 systems