Applied AI Engineer
Design and deploy document AI and multimodal pipelines for complex document understanding. Lead pre-sales technical engagements, customer POCs, and deployments across Snowflake, AWS, and enterprise VPCs.
Customer Engineer, Agent Builder
Builds and deploys enterprise-grade AI agents for customers, handling end-to-end execution including configuration, integrations, guardrails, and validation. Requires 5+ years in technical customer-facing roles with strong coding and API skills.
175k – 230kNew York, NYSolutions ArchitectureOnsite5+ YOE
About the role
Responsibilities
- Own end-to-end execution of AI agent builds for enterprise customers, from initial scoping through launch and iteration.
- Write and maintain key agent-building artifacts (e.g., AOPs), and configure agent behavior to optimize quality, reliability, and business outcomes.
- Configure and validate guardrails to ensure safe, compliant, and predictable agent performance across real-world scenarios.
- Set up, test, and validate customer integrations (e.g., ticketing systems), including building tools and workflows needed for successful deployments.
- Interface with senior technical stakeholders at customers to define success criteria, gather requirements, and drive delivery against timelines.
- 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.
Requirements
- 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, or similar).
- 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.
Nice-to-Haves
- Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.).
- Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations.
- A Computer Science, Engineering, or Math degree, or equivalent technical experience.
- Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap.
Compensation
$175K – $230K • Offers Equity
Skills
LLMsAI AgentsPromptingGuardrailsAPIsIntegrationsTicketing SystemsCRMPrompt EngineeringEvaluation FrameworksWorkflow DesignSaas IntegrationsCodeAops
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