AI Forward Deployed Engineer (Remote, North America)

Posted 3 months agoViewed
North AmericaFull-TimeSoftware Development
Company:
Location:North America
Languages:English
Seniority level:Lead, 3-5 years
Experience:3-5 years
Skills:
LeadershipProject ManagementArtificial IntelligenceData AnalysisMachine LearningProduct ManagementAPI testingRESTful APIsDocumentationProblem SolvingMentoringJSONCustomer SuccessSaaSCross-functional collaboration
Requirements:
3–5 years experience in Professional Services, Solutions Engineering, or AI/automation delivery within a SaaS company. Proven track record leading technical customer implementations from kickoff to go-live. Strong understanding of LLMs, conversational AI, and automation platforms such as OpenAI, LangChain, or Dialogflow. Experience with prompt design, workflow configuration, and structured data (JSON, APIs). Excellent communicator who can simplify complex AI concepts for customers and internal stakeholders. Highly organized and detail-oriented, with a focus on process rigor. Curious, adaptable, and driven to experiment with emerging technologies. Startup mindset with the ability to balance structure and speed.
Responsibilities:
Lead end-to-end AI implementations, including configuration, testing, and deployment for Voice Agent, Co-Pilot, and related AI solutions. Design and maintain AI playbooks and best practices for prompt design, conversation flow, and customer configuration. Serve as the AI subject-matter expert during customer onboarding and post-go-live optimization cycles. Partner with Product and Engineering to pilot new AI features, provide structured feedback, and identify enhancements. Analyze AI performance by monitoring accuracy, adoption, and user feedback to inform future iterations. Collaborate cross-functionally with Implementation PMs, TAMs, and PSEs to integrate AI capabilities into the broader customer journey. Train customer teams on self-service management of AI tools, including prompt iteration and reporting. Build structure and repeatability by documenting configurations, processes, and insights that scale across all implementations.
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