Enterprise AI Agent Deployment Engineer

FDE Times; London Borough of Harrow; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Medical, Dental, and Vision benefits

Life Insurance and Disability Benefits

Retirement Plan

Parental Leave

Wellness stipend

Daily lunches in the office

Job summary

Decagon seeks an Agent Deployment Engineer to lead end‑to‑end AI agent builds for strategic customers. This highly technical role translates complex requirements into build plans, delivers enterprise‑grade agents, and coordinates with customers and internal teams to define success and timelines.

You will work with PMs, engineering, design and GTM, design guardrails, validate integrations with data pipelines and CRMs, and implement scalable deployment workflows.

Qualifications

• 5+ years in a technical customer-facing role.
• Experience delivering production-grade customer solutions.
• Ability to communicate with senior technical stakeholders.
• Comfort in fast-moving, ambiguous environments.

Responsibilities

• Own end-to-end architecture and execution of AI agent builds for enterprise customers.
• Design core agentic logic to optimize quality and reliability.
• Engineer guardrails and supervisory controls for safe agent performance.
• Architect and test integrations with customer systems (CRM, data pipelines).
• Interface with senior stakeholders to define success criteria and requirements.
• Diagnose and resolve technical issues via root-cause analysis.
• Design evaluation and regression testing frameworks for agent behavior.

Skills

Solutions engineering

APIs & integrations

Technical storytelling

Communication with stakeholders

Education

CS/Engineering/Math degree or equivalent

Tools

APIs

CRM systems

Data pipelines

Job description

Decagon seeks an Agent Deployment Engineer to lead end‑to‑end AI agent builds for strategic customers. This highly technical role translates complex requirements into build plans, delivers enterprise‑grade agents, and coordinates with customers and internal teams to define success and timelines.

You will work with PMs, engineering, design and GTM, design guardrails, validate integrations with data pipelines and CRMs, and implement scalable deployment workflows.