Forward Deployed Engineer

Dialpad
Austin
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Ownership","Judgment","Problem-solving","Communication","Attention to detail"]

Turn qualified AI opportunities into live, production-ready agent deployments for real customer environments. You’ll scope use cases into technical delivery plans, design workflow-aware AI agents (orchestration, prompts, retrieval, and decision logic), and integrate with enterprise systems via APIs and data sources. Own evaluation, guardrails, and iterative performance tuning for reliability, safety, and readiness through initial go-live and first-shift stabilization, while feeding learnings back to product and engineering teams.

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FursaFursa
Dialpad
Dialpad
3 days ago

Forward Deployed Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live
Reposted: similar role first listed 5 days ago

Job Summary

Turn qualified AI opportunities into live, production-ready agent deployments for real customer environments. You’ll scope use cases into technical delivery plans, design workflow-aware AI agents (orchestration, prompts, retrieval, and decision logic), and integrate with enterprise systems via APIs and data sources. Own evaluation, guardrails, and iterative performance tuning for reliability, safety, and readiness through initial go-live and first-shift stabilization, while feeding learnings back to product and engineering teams.
Location: Austin
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Convert prioritized use cases into a delivery scope, technical plan, and phased implementation approach.
  • •Design and build customer-specific AI agent solutions, including orchestration logic, prompt architecture, retrieval flows, workflow rules, and decision logic.
  • •Implement integrations with customer data sources, APIs, SaaS platforms, CRMs, ERPs, and enterprise knowledge systems so agents can perform end-to-end work.
  • •Develop evaluation methods, guardrails, and acceptance criteria to measure usefulness, reliability, safety, and production readiness, then run iterative testing and performance tuning.
  • •Prepare for production by addressing access controls, observability, rollout sequencing, exception handling, fallback behavior, and hypercare stabilization through initial go-live and first shift.

Key Requirements

  • •Experience in a high-impact, customer-facing technical role such as Forward Deployed Engineering, Solutions Architecture, Technical Consulting, Deployment Engineering, or AI-focused SaaS implementation.
  • •Hands-on experience building and deploying AI, LLM, or agentic systems in production environments.
  • •Strong working knowledge of modern AI and application patterns including LLMs, prompt engineering, retrieval systems, vector databases, evaluation methods, and agent orchestration frameworks.
  • •Proficiency in Python, JavaScript/TypeScript, Go, or similar languages for integrations, middleware, and production deployment work.
  • •Ability to translate ambiguous business objectives and SOPs into clear, shippable technical solutions with strong customer communication.
Experience:AI
Skills:OwnershipJudgmentProblem-solvingCommunicationAttention to detail
Languages:English
Tech Stack:PythonJavaScriptTypeScriptGoLLMsPrompt engineeringRetrieval systemsVector databasesEvaluation methodsAgent orchestration frameworksAPIsSaaSCRMsERPsEnterprise knowledge systems

Company Brief

Dialpad
Provides cloud-based business communications platform offering voice, video, messaging, contact center, and AI-driven call intelligence to help teams communicate and collaborate across devices and locations.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: San Francisco, United States
Founded: 2011
WebsiteLinkedIn