AI Specialist

LaunchDarkly

AI Specialist at LaunchDarkly enhancing AI application deployment and driving customer adoption for AgentControl. Collaborate with product teams and create technical content for AI solutions.

Posted 7/10/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $182,600 - $295,350 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Bring serious, credible expertise in practical AI applications to customer conversations.
Spearhead the early-stage evaluation, implementation, and adoption of AgentControl at scale, working closely with existing customers to ensure activation and churn prevention (alongside feedback).
Partner with the AI SME team to develop and document Solutions Engineering playbooks and best practices that scale beyond our early customers.
Partner closely with the AI Strategy Lead and AI SME team surfacing revenue-related insights as the product is deployed.
Lead AgentControl POVs to validate technical win and secure revenue from our largest customers.
Collaborate extensively with product and engineering teams to ensure product concepts are technically feasible and align with LaunchDarkly's strategic goals.
Drive continuous improvement by monitoring product performance, user experience, and market response, iterating based on actionable data and insights.
Ensure AgentControl's roadmap tracks market demand and delivers an exceptional experience for the AI developer persona.
Deliver integrations against common, quantified customer requests in the form of code contributions, architecture diagrams, and whitepapers
Function as a key technical asset in technical partnerships with advantageous potential partners (like Anthropic, DataBricks, etc…)
Publicly evangelize AgentControl at mainstream industry conferences, webinars, partner engagements, and strategic meetings.
Partner with LaunchDarkly’s AI SE SME team to support broader organization enablement on AI and the AgentControl product.
Support Field Team Enablement of AgentControl.
Work with the AI Researcher, the PMM team, and the AI Strategy Lead to build and maintain competitor playbooks.

Requirements

What you’ll need

Extensive experience with AI applications including building, implementing, or selling AI solutions at scale
Experience building multi-agent systems using frameworks like LangGraph, AgentBuilder, or AgentCore
Hands-on experience evaluating AI agent performance at scale using automated evaluation methods
Deep understanding of LLM mechanics (you've read 'Attention is All You Need' and can explain transformer architecture in detail)
Experience building or interfacing with MCP (Model Context Protocol) servers
Strong Python skills with experience building in PyTorch or TensorFlow
Strong foundation in software engineering principles and current market trends
Typically requires a minimum of 12 years of related experience.

Benefits

Comp & perks

Restricted Stock Units (RSUs)
Health, vision, and dental insurance
Mental health benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI ApplicationsPythonPyTorchTensorFlowMulti-Agent SystemsAutomated Evaluation MethodsMCP ServersSoftware Engineering PrinciplesTransformer ArchitectureLangGraph