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AI SME; Subject Matter Expert

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: MaxAccelerate
Full Time position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: AI SME (Subject Matter Expert)
Location: Greater London

Max Accelerate AI Labs Division

Location:

UAE / Europe / Remote (Flexible)

Reports to:

Group CEO / Head of Innovation

About Max Accelerate AI Labs

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.

The Role

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
AI Agent Design & Deployment

Design, 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

Experience required in:

  • Multi‑agent systems
  • Tool / function calling
  • Retrieval‑Augmented Generation (RAG)
  • Memory systems and vector databases
  • Workflow orchestration for AI agents
Hands‑on Experience With

Hands‑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 cost
CRM & System Integrations
  • Salesforce CRM experience is preferred but not essential.
Conversational & Voice AI

Experience with:

  • Conversational AI frameworks
  • AI voice agents
  • Speech‑to‑text and text‑to‑speech systems
  • Telephony or real‑time AI integrations
Governance & Responsible AI

Knowledge of:

  • Data governance principles
  • Prompt injection mitigation
  • AI monitoring and evaluation
  • Responsible AI deployment
Candidate 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 outcomes
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 programmes
How to Apply

Please apply with:

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