AI SME; Subject Matter Expert

Max Accelerate AI Labs Division

Location:

UAE / Europe / Remote (Flexible)

Reports to:

Group CEO / Head of Innovation

Max Accelerate AI Labs is the innovation division of Max Accelerate 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, Hub Spot 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. This 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 deployment

This is not a management‑only role. We are looking for someone who actively builds.

• Design, build and optimise AI Sales Agents (SDR automation, lead qualification, CRM updates)
• Design, build and optimise AI Customer Service Agents (ticket triage, response drafting, sentiment analysis)
• Design, build and optimise AI Recruitment Agents (CV screening, candidate scoring, AI interviewers)
• Design, build and optimise AI Executive Insight Agents (KPI summaries, reporting automation)

• Multi‑agent systems
• Tool / function calling
• Retrieval‑Augmented Generation (RAG)
• Memory systems and vector databases
• Workflow orchestration for AI agents
• 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 cost
• Salesforce (preferred but not essential)
• Microsoft Dynamics
• Hub Spot
• Zoho
• REST APIs
• OAuth authentication
• Webhooks
• Automation tools (Make, Zapier, n8n or similar)
• Vector databases (Pinecone, Weaviate, Chroma or similar)
• Knowledge retrieval systems
• Semantic data structuring
• Business data modelling for AI use cases
• Conversational AI frameworks
• AI voice agents
• Speech‑to‑text and text‑to‑speech systems
• Telephony or real‑time AI integrations
• Data governance principles
• Prompt injection mitigation
• AI monitoring and evaluation
• Responsible AI deployment
• 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 outcomes

• A full AI Agent Ecosystem
• A catalogue of modular AI automation solutions
• Enterprise‑ready AI deployment frameworks
• AI training and enablement programmes

• Your Linked In profile
• A short summary of AI agents you have built
• Links, demos or documentation of prototype systems