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Solutions Architect at LaunchDarkly - ApplyBlast

Solutions Architect

LaunchDarkly

3 months ago

3.8 on Glassdoor

United States

Hybrid

Full Time

Senior

1 applicant

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About this role

As a Solutions Architect at LaunchDarkly, you will lead strategic engagements to help customers integrate feature management into AI-powered applications and agentic workflows. You will act as a trusted advisor and hands-on engineer, building production-quality code to implement safe AI rollouts, governance, and progressive delivery patterns. This role requires deep technical expertise in modern software delivery, cloud platforms, and AI development tools to guide enterprise clients through transformative implementations.

Responsibilities

Lead strategic engagements for AI-powered application implementations using LaunchDarkly
Build production-quality code to integrate feature management into customer systems
Establish best practices for AI delivery, experimentation, and governance
Collaborate with engineering teams to resolve complex technical obstacles
Guide customers through progressive delivery and safe AI rollout patterns

Skills

Qualifications

BS in Computer Science or related field5+ years in enterprise software or solutions architectureExperience with AI-assisted development tools like Claude Code or CursorProficiency in Model Context Protocol (MCP) or agent-based approachesHands-on experience with major cloud providers and containers

About LaunchDarkly

launchdarkly.com

Headquarters

Oakland, California, United States

Company Size

501-1000 employees

Founded

2014

View Profile

LaunchDarkly is a feature management and runtime control platform that helps engineering teams safely manage code and AI agents in production. Its platform includes feature flags, progressive delivery, automated rollback, observability, and experimentation for traditional software, as well as AgentControl for governing AI agent behavior, optimizing AI performance and cost, and enabling self-healing systems. Companies use LaunchDarkly to ship AI-built code with confidence, run controlled rollouts, reduce release risk, and continuously experiment across web, mobile, backend, and AI-powered services.