Client-Facing AI Deployment Engineer

Coaley Peak; Cheltenham; Hybrid; GBP 55,000 - 80,000; Full time

Benefits offered by this job

Salary £55k–£80k per year

28 days annual leave + bank holidays

Hybrid working (Cheltenham HQ, client/

Private healthcare

£2,000 annual development budget

EAP

Living Wage Employer

Job summary

Coaley Peak is seeking a Forward Deployed AI Implementation Engineer to work on-site and remotely with client teams, architecting and embedding AI-powered workflows into core operations. This is not a desk job; you will spend meaningful time in client environments, running discovery workshops and mapping processes to identify high-impact automation opportunities.

You will build bespoke AI pipelines using Coaley Peak's engine stack and third-party LLM integrations, while collaborating with the

Qualifications

• Proficient in Python and/or TypeScript; production-grade automation code.
• Hands-on experience integrating with LLM APIs (OpenAI, Anthropic, Google, etc.).
• Experience building workflow automation systems using n8n, Make, Zapier, Temporal or similar.
• Excellent client-facing communication to explain complex concepts to non-technical audiences.
• Comfortable working in ambiguous environments and with client constraints.

Responsibilities

• Lead end-to-end technical deployment of AI automation solutions across client environments.
• Conduct structured discovery workshops with client stakeholders to map workflows and identify ROI.
• Architect and build bespoke AI pipelines using Coaley Peak's engine stack and third-party LLMs.
• Provide hands-on implementation support during go-live, including on-site presence.
• Write clear technical documentation, runbooks, and knowledge-transfer materials.
• Monitor deployments post-launch and iterate based on data and feedback.
• Contribute to internal R&D by sharing patterns and learnings from engagements.
• Support the commercial team in pre-sales: scoping, demonstrations, and PoC builds.
• Ensure compliance with data protection laws (UK GDPR, DPA 2018) and security requirements.

Skills

Python

TypeScript

LLM APIs

Workflow automation

Client-facing communication

Tools

n8n

Make

Zapier

Temporal

Job description

Coaley Peak is seeking a Forward Deployed AI Implementation Engineer to work on-site and remotely with client teams, architecting and embedding AI-powered workflows into core operations. This is not a desk job; you will spend meaningful time in client environments, running discovery workshops and mapping processes to identify high-impact automation opportunities.

You will build bespoke AI pipelines using Coaley Peak's engine stack and third-party LLM integrations, while collaborating with the