Deployment Engineer
Core
Implement Resolve AI in customer production environments, tune autonomous AI agents for incident investigation, and drive adoption to prove value.
Role type
Senior Deployment Engineer (Customer-Facing)
Builds
Production-ready deployments of autonomous AI production engineers for enterprise customers
Domain
SaaS / Observability / Agentic AI
Deliverable
production ML models
Required skills
Production infrastructure (AWS, Kubernetes, CI/CD, Observability), AI agent usage, Python/TypeScript/Go scripting, Enterprise security (SSO/SAML, RBAC), Technical enablement, Stakeholder management
Preferred skills
LLM evaluation frameworks, Usage-based product experience, Open-source contributions
Technologies
AWS, Kubernetes, Datadog, Grafana, Prometheus, Splunk, OpenTelemetry, Claude Code, Codex, Cursor
Responsibilities
Own end-to-end implementation and configuration for assigned accounts, Build customer-specific knowledge models and runbooks, Run back-tests and evaluation sets for quality assurance, Drive activation and embed tools in customer SOPs, Monitor sustained consumption and usage metrics, Act as voice of the field to Product and Engineering teams (via careerplan.io/jobs/03b5e340-7673-4219-b684-4ec16d962430-deployment-engineer-at-resolveai)
Seniority
Senior, hands-on IC
