Senior AI Agent Deployment Engineer

Fdetimes; Greater London; Hybrid; GBP 80,000 - 120,000; Full time

Benefits offered by this job

Medical & Vision

Life Insurance

Retirement Plan

Parental Leave

Fertility benefits

Wellness stipend

Free lunches

Job summary

Decagon is hiring an Agent Deployment Engineer in the UK to lead end-to-end AI agent builds for strategic customers. You will own the implementation, validate integrations, and drive production deployments with internal teams to deliver enterprise-grade agents that unlock measurable business impact.

You will collaborate with Agent PMs, Engineering, and GTM to ship customer-facing technical work while balancing hands-on delivery with structured thinking in a fast-paced environment.

Qualifications

• 5+ years in a technical customer-facing role.
• Strong programming and API experience with end-to-end integrations.
• 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, from systems design and initial scoping through implementation, evaluation, and production deployment.
• Design and engineer the core agentic logic governing agent behavior, applying engineering principles to optimize quality, reliability, and correctness across non-deterministic model outputs.
• Engineer and validate layered guardrails and supervisory controls to ensure safe, compliant, and predictable agent performance across real-world scenarios.
• Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing systems), including building the tools, APIs, and workflows needed for reliable deployments at scale.
• Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines.
• Diagnose, debug, and resolve both probabilistic and technical failures through root-cause analysis of execution traces, error logs, and model behavior.
• Design evaluation and regression-testing frameworks to validate agent behavior against ground truth and guard against performance drift.
• Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements.
• Partner closely with APMs, Engineering, Design, and Go-To-Market teams to deliver consistent, repeatable, best-in-class agent builds.

Skills

APIs

Integrations

Customer-facing

Technical delivery

Diagnostics

Education

CS/Engineering/Math degree

Tools

Ticketing systems

CRM

Data pipelines

Job description

Decagon is hiring an Agent Deployment Engineer in the UK to lead end-to-end AI agent builds for strategic customers. You will own the implementation, validate integrations, and drive production deployments with internal teams to deliver enterprise-grade agents that unlock measurable business impact.

You will collaborate with Agent PMs, Engineering, and GTM to ship customer-facing technical work while balancing hands-on delivery with structured thinking in a fast-paced environment.