Senior AI Agent Deployment Engineer

FDE Times; New York (NY); On-site; USD 175,000 - 230,000; Full time

Benefits offered by this job

Medical, Dental, and Vision benefits

Life Insurance and Disability Benefits

401K / Retirement plan

Parental Leave

Wellness stipend

Job summary

Decagon is hiring an Agent Deployment Engineer to lead end-to-end AI agent builds for strategic enterprise customers. You will own architecture, design core agent logic, and validate guardrails, ensuring reliable, scalable deployments and strong collaboration with customer teams.

You will partner with PMs, Engineering, and GTM teams to translate requirements into build plans, drive delivery, and help evolve the agent-building platform based on real customer needs.

Qualifications

• 5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical product/PM)
• Strong technical foundation: writing code, working with APIs, and building/validating integrations end-to-end
• 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 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

Job description

Decagon is hiring an Agent Deployment Engineer to lead end-to-end AI agent builds for strategic enterprise customers. You will own architecture, design core agent logic, and validate guardrails, ensuring reliable, scalable deployments and strong collaboration with customer teams.

You will partner with PMs, Engineering, and GTM teams to translate requirements into build plans, drive delivery, and help evolve the agent-building platform based on real customer needs.