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LaunchDarkly

Solutions Architect, AI

LaunchDarkly
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about 5 hours ago
Remote, United StatesSenior / Staff+
H1B Sponsor

Base Salary

$158k - $257k/yr

Responsibilities

  • Lead complex Professional Services engagements focused on AI-enabled and traditional software delivery.
  • Partner with customers to design and implement feature management strategies for AI systems.
  • Advise customers on safe rollout patterns for AI, including progressive exposure and experimentation.
  • Support customers in building and operating chatbots and agent-based systems.
  • Apply a consultative approach to understand customer architectures and influence technical decisions.
  • Act as a trusted technical advisor to engineering and AI leaders.
  • Identify and resolve technical obstacles in complex AI-driven systems.
  • Establish yourself as a subject matter expert on LaunchDarkly and AI delivery patterns.
  • Advocate for customers by synthesizing feedback for Product and Engineering teams.

Requirements

  • 5+ years of experience in enterprise software, platform engineering, or solutions architecture roles.
  • Strong hands-on technical background with a consultative, customer-focused approach.
  • Experience implementing and advising across the full software development lifecycle.
  • Proficiency in modern programming languages such as Python, Java, or JavaScript.
  • Experience with low code/no code solutions.
  • Experience with AI/ML-enabled systems, including LLMs and chatbots.
  • Familiarity with AI development tooling and datasets.
  • Understanding of Model Context Protocol or similar approaches.
  • Ability to guide customers in DevOps and modern release practices.
  • Experience leading teams through development or platform transformations.
  • Proven ability to manage multiple concurrent engagements.
  • Experience in both pre-sales and post-sales customer engagements.
  • Experience with LaunchDarkly or other feature management platforms.
  • Hands-on experience with major cloud providers like AWS or Azure.
  • Experience working with Linux, containers, and virtualized environments.
  • Open to 20% travel.

Tech Stack

AWSAzureGoGoogle Cloud PlatformJavaJavaScriptLinuxNode.jsPython

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