AI SME (Subject Matter Expert)

Role Overview

AI Subject Matter Expert (SME) at MaxAccelerate AI Labs Division. Location: UAE / Europe / Remote (Flexible). Reports to: Group CEO / Head of Innovation.

Company Overview

MaxAccelerate AI Labs is the innovation division of MaxAccelerate Technology Group, focused on designing and deploying next-generation AI automation ecosystems for enterprise clients. The division builds 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. The objective is to build a catalogue of production-ready AI solutions and an AI Academy for enterprise deployment.

Role Purpose

Lead the technical architecture, prototyping and deployment of enterprise-grade AI agent systems. This is a hands-on technical role requiring active building of working prototypes and production-ready AI automations that integrate across CRM and business systems.

Key Responsibilities

AI Agent Design & Deployment

• Design, build and optimize AI Sales Agents for SDR automation, lead qualification and CRM updates.
• Design, build and optimize AI Customer Service Agents for ticket triage, response drafting and sentiment analysis.
• Design, build and optimize AI Recruitment Agents for CV screening, candidate scoring and AI interviewers.
• Design, build and optimize AI Executive Insight Agents for KPI summaries and reporting automation.
• Architect multi-agent workflows for complex business processes.
• Support the creation of modular AI solutions for repeatable deployment.
• Implement best-in-class AI models and frameworks.

LLM & Model Selection

• Deploy and optimize AI systems using OpenAI ecosystem (production or prototype deployments).
• Work with Anthropic Claude for agent development and deployment.
• Implement Google Gemini across use cases.
• Deploy systems using Azure OpenAI.
• Integrate open-source LLMs such as Llama, Mistral or similar.
• Configure structured outputs and guardrails for model safety.
• Select models based on use case requirements, latency constraints and cost optimization.

CRM & System Integrations

• Integrate AI systems with Salesforce (preferred but not essential).
• Integrate AI systems with Microsoft Dynamics.
• Integrate AI systems with HubSpot.
• Integrate AI systems with Zoho.
• Implement REST APIs for system connectivity.
• Configure OAuth authentication for secure integrations.
• Deploy webhooks for real-time data synchronization.
• Evaluate and implement automation tools such as Make, Zapier or n8n.

AI Data & Knowledge Architecture

• Implement vector databases such as Pinecone, Weaviate or Chroma.
• Design knowledge retrieval systems for AI agents.
• Structure semantic data for AI use cases.
• Model business data architectures optimized for AI deployment.

Conversational & Voice AI

• Deploy conversational AI frameworks for agent interactions.
• Build AI voice agents for enterprise applications.
• Integrate speech-to-text and text-to-speech systems.
• Implement telephony or real-time AI integrations.

Governance & Responsible AI

• Apply data governance principles to AI deployments.
• Mitigate prompt injection vulnerabilities.
• Monitor and evaluate AI agent performance.
• Deploy AI systems following responsible AI frameworks.

Qualifications & Experience

• 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).
• Experience with multi-agent systems.
• Experience with tool / function calling.
• Experience with Retrieval-Augmented Generation (RAG).
• Experience with memory systems and vector databases.
• Experience with workflow orchestration for AI agents.
• Hands-on experience with OpenAI ecosystem (production or prototype deployments).
• Hands-on experience with Anthropic Claude.
• Hands-on experience with Google Gemini.
• Hands-on experience with Azure OpenAI.
• Hands-on experience with open-source LLMs (Llama, Mistral or similar).
• Experience with conversational AI frameworks.
• Experience with AI voice agents.
• Experience with speech-to-text and text-to-speech systems.
• Experience with telephony or real-time AI integrations.

Skills & Competencies

• Strong systems-thinking and architecture mindset.
• Commercial awareness and ability to translate technical solutions into business outcomes.
• Comfortable operating in a fast-moving innovation environment.
• Knowledge of data governance principles.
• Knowledge of prompt injection mitigation techniques.
• Knowledge of AI monitoring and evaluation.
• Understanding of REST APIs.
• Understanding of OAuth authentication.
• Understanding of webhooks.
• Salesforce CRM experience (preferred but not essential).

Additional Information

This is a hands-on technical role suited to a builder who has already created real AI agents and wants to scale that experience into enterprise-grade deployments. You will help build a full AI Agent Ecosystem, a catalogue of modular AI automation solutions, enterprise-ready AI deployment frameworks and AI training and enablement programmes.

Applicants should provide LinkedIn profile, a short summary of AI agents built, and links, demos or documentation of prototype systems.