AI SME (Subject Matter Expert)

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

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

Key Responsibilities

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 in:

• Multi-agent systems
• Tool / function calling
• Retrieval-Augmented Generation (RAG)
• Memory systems and vector databases
• Workflow orchestration for AI agents

LLM & Model Experience

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

Experience integrating AI systems with:

• Salesforce (preferred but not essential)
• Microsoft Dynamics
• HubSpot
• Zoho

Understanding of:

• REST APIs
• OAuth authentication
• Webhooks
• Automation tools (Make, Zapier, n8n or similar)

Salesforce CRM experience is preferred but not essential.

AI Data & Knowledge Architecture

Experience with:

• Vector databases (Pinecone, Weaviate, Chroma or similar)
• Knowledge retrieval systems
• Semantic data structuring
• Business data modelling for AI use cases

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

This 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 programmes

If 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