Enterprise AI Deployment Lead

Cavendish Professionals; Greater London; Sur place; GBP 90 000 - 120 000; Plein temps

Résumé du poste

Cavendish (Recruitment) Professionals Ltd is seeking an experienced Forward Deployed Engineer to own end-to-end AI and automation deployments within enterprise environments. You will move from discovery and workflow analysis to building, integration, deployment, and ongoing improvement of AI agents in production.

Ideal candidates have 5–8 years of hands-on delivery experience, strong skills with LLMs, agent frameworks, MCP, APIs, and a proven track record of delivering measurable business impact

Qualifications

• 5–8 years of hands-on forward deployed engineering or similar delivery experience.
• Proven track record shipping AI/agentic systems into production with clients.
• Experience with LLMs, agent frameworks, MCP, APIs, and AI evaluations.

Responsabilités

• Own customer deployments end-to-end from discovery to go-live.
• Analyse customer workflows to identify automation opportunities.
• Translate processes into agent logic, actions, decision rules, exceptions, and fallbacks.
• Build and deploy AI agents using LLMs, frameworks, MCP, APIs.
• Integrate AI agents with ERPs, portals, spreadsheets, email, and enterprise systems.
• Debug and improve live agents in production to achieve measurable outcomes.
• Lead customer sessions and build relationships with senior stakeholders.
• Identify high-value use cases and opportunity for account expansion.
• Create reusable templates and runbooks.
• Feed learnings back into Product and Engineering.

Connaissances

LLMs

Agent frameworks

APIs

Customer-facing

Delivery lifecycle

Outils

MCP

Description du poste

Cavendish (Recruitment) Professionals Ltd is seeking an experienced Forward Deployed Engineer to own end-to-end AI and automation deployments within enterprise environments. You will move from discovery and workflow analysis to building, integration, deployment, and ongoing improvement of AI agents in production.

Ideal candidates have 5–8 years of hands-on delivery experience, strong skills with LLMs, agent frameworks, MCP, APIs, and a proven track record of delivering measurable business impact