Agent Deployment Engineer

Decagon
Australia
Workplace: OnsiteFull timeAUD 213,000 - 266,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Problem-solving","Stakeholder management","Structured thinking"]

Own end-to-end architecture and execution of AI agent builds for enterprise customers, partnering with customer and internal teams to translate requirements into delivery plans. Design agent logic and layered guardrails for reliable, compliant performance. Build and validate integrations with customer systems (data pipelines, CRMs, ticketing), define success criteria, and drive technical delivery against timelines. Diagnose failures, and create evaluation/regression frameworks to prevent performance drift at scale.

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FursaFursa
Decagon
Decagon
2 days ago

Agent Deployment Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Own end-to-end architecture and execution of AI agent builds for enterprise customers, partnering with customer and internal teams to translate requirements into delivery plans. Design agent logic and layered guardrails for reliable, compliant performance. Build and validate integrations with customer systems (data pipelines, CRMs, ticketing), define success criteria, and drive technical delivery against timelines. Diagnose failures, and create evaluation/regression frameworks to prevent performance drift at scale.
Location: Australia
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end architecture and execution of AI agent builds for enterprise customers, from scoping through implementation, evaluation, and production deployment.
  • •Design and engineer agentic logic 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 performance.
  • •Architect, build, and test integrations with customer systems (data pipelines, CRMs, ticketing), including tools, APIs, and workflows for reliable deployments at scale.
  • •Diagnose and resolve probabilistic and technical failures using root-cause analysis of execution traces, error logs, and model behavior.

Pay and Benefits

Salary: AUD 213,000 - 266,000 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceRetirementParental LeaveFertility BenefitsWellness StipendPaid Leave

Key Requirements

  • •5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, implementation engineering, or technical consulting).
  • •Strong technical foundation with ability to write code, work with APIs, and build/validate integrations end-to-end.
  • •Experience delivering production-grade customer solutions with structured execution, testing/validation, and iteration.
  • •Ability to communicate clearly with senior technical stakeholders and translate requirements into implementation plans.
  • •Comfort operating in fast-moving, ambiguous environments while shaping solutions and implementing them.
Experience:5+ yearsConversational AIAI agentsEnterprise SaaSLLMs
Education:
Skills:CommunicationProblem-solvingStakeholder managementStructured thinking
Tech Stack:AI agentsLLMsAPIsGuardrailsEvaluationRegression testingCRMsTicketing systemsData pipelines

Company Brief

Decagon
Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2023
Glassdoor
Glassdoor: 3.9
WebsiteLinkedInGlassdoor