Enterprise AI Agent Deployment Engineer

FDE Times; Toronto; On-site; CAD 110,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental, and Vision benefits

Life Insurance and Disability Benefits

Retirement Plan

Parental Leave

Fertility and family building benefits

Wellness stipend

Daily lunches and snacks in the office

Flexible vacation policy

Job summary

Decagon is building an Agent Deployment Engineering org focused on end-to-end AI agent builds for strategic customers. As an Agent Deployment Engineer you will own the implementation work to launch and scale enterprise-grade agents, partnering with customers and internal teams to define success and deliver measurable outcomes.

You will work with Product Managers, Engineering, and GTM teams to translate requirements into build plans, design agent logic, validate integrations, and ensure

Qualifications

• 5+ years in a technical customer-facing role.
• Strong background writing code and building integrations with APIs.
• Experience delivering production-grade customer solutions with rigorous validation.
• Able to communicate with senior technical stakeholders and translate requirements into plans.

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

Customer-facing eng

API integrations

Coding ability

Stakeholder comms

Education

Computer Science/Engineering/Math degree

Tools

APIs

Data pipelines

CRM systems

Ticketing systems

Job description

Decagon is building an Agent Deployment Engineering org focused on end-to-end AI agent builds for strategic customers. As an Agent Deployment Engineer you will own the implementation work to launch and scale enterprise-grade agents, partnering with customers and internal teams to define success and deliver measurable outcomes.

You will work with Product Managers, Engineering, and GTM teams to translate requirements into build plans, design agent logic, validate integrations, and ensure