Enterprise AI Agent Deployment Engineer

Urban Ridge Supplies; Toronto; On-site; CAD 150,000 - 200,000; Full time

Benefits offered by this job

Medical, Dental, and Vision benefits

Life Insurance

Retirement Plan

Parental Leave

Fertility and family building benefits

Wellness stipend

Free Daily lunches

Generous vacation policy

Job summary

Decagon is building an Agent Deployment Engineering Org to own end-to-end AI agent builds for strategic customers. The role combines hands-on implementation with rigorous delivery to scale enterprise-grade agents across integrations and data pipelines.

You’ll work with Agent PMs, Engineering, GTM, and customer stakeholders to define success, translate requirements into build plans, and ship reliable agent solutions on schedule.

Qualifications

• 5+ years of experience in a technical customer-facing role.
• Native or business-level fluency in English and Spanish.
• Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end.
• Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration.
• Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.
• Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.

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 workflow needed 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

5+ years experience

English

Spanish

Technical delivery

APIs

Education

CS/Engineering/Math degree

Tools

APIs

Job description

Decagon is building an Agent Deployment Engineering Org to own end-to-end AI agent builds for strategic customers. The role combines hands-on implementation with rigorous delivery to scale enterprise-grade agents across integrations and data pipelines.

You’ll work with Agent PMs, Engineering, GTM, and customer stakeholders to define success, translate requirements into build plans, and ship reliable agent solutions on schedule.