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LaunchDarkly
LaunchDarkly

Senior Solutions Architect, AI Focus

RemoteUnited States only
Published
Role
Engineering Management
Experience
Senior
Employment
Full-time
Company size
Enterprise
$171k–$235.4k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior solutions architect for AI-focused professional services. Hands-on: must write production integrations (Python/Java/Node/Go), 4+ years enterprise software/platform experience, US-remote with possible geographic pay zones and ~20% travel. Responsible for safe rollout, experimentation and governance of LLM/agentic systems using LaunchDarkly.

Core skills

feature managementAI-powered application integrations

Required skills

PythonJavaJavaScriptNode.jsGoDevOpsCI/CDexperimentationsAWSAzureGCPLinuxcontainersModel Context Protocol (MCP)

Optional skills

Claude CodeCursorother AI-assisted development toolsRSUs understanding

What you'll do

  • Lead complex Professional Services engagements focused on AI-enabled and traditional software delivery, aligning customer goals with LaunchDarkly best practices.
  • Partner with customers to design and build feature management into their LLM-powered applications, agentic workflows, and internal AI platforms.
  • Design and help implement safe rollout patterns for AI — progressive exposure, guardrails, kill switches, and prompt/model experimentation — directly in the customer's codebase.
  • Build reference implementations, integrations, and prototypes alongside customer engineers — writing production-quality code that demonstrates the pattern.
  • Work hands-on in customer environments to instrument AI systems with LaunchDarkly at inference-time and workflow-level decision points.
  • Support customers building and operating chatbots, copilots, and agent-based systems, integrating LaunchDarkly into inference-time and workflow-level decisions.
  • Apply a consultative approach to understand customer architectures, gather detailed requirements, and influence key technical and organizational decisions.
  • Act as a trusted technical advisor to engineering, platform, DevOps, and AI leaders.
  • Identify and resolve technical obstacles that hinder value realization in complex, distributed, or AI-driven systems.
  • Advocate for customers by synthesizing feedback and collaborating with Product and Engineering teams to shape future AI-related capabilities.

What they require

  • 4+ years in enterprise software, platform engineering, or solutions architecture, with a hands-on, consultative approach.
  • Ability to write production-quality code in one or more modern languages (Python, Java, JavaScript/Node.js, Go, or similar) and independently build and ship working integrations and prototypes in a customer's repository.
  • Hands-on experience with AI-assisted development tools (Claude Code, Cursor, or similar).
  • Understanding of Model Context Protocol (MCP) or similar tool-augmented/agent-based approaches, or strong interest in learning.
  • Ability to guide customers in DevOps, CI/CD, and modern release practices, including experimentation and progressive delivery.
  • Experience delivering across the full SDLC in enterprise environments and leading teams through development or platform transformations.
  • Strong grasp of how feature management and experimentation platforms accelerate and de-risk software delivery.
  • Hands-on experience with a major cloud provider (AWS, Azure, or GCP), Linux, and containers.
  • Open to 20% travel.

Benefits

  • Restricted Stock Units (RSUs)
  • health insurance
  • vision insurance
  • dental insurance
  • mental health benefits
  • paid time off (PTO)
  • affirmative action plan available on request
  • disability accommodations process

American feature management and AI control software company

🇺🇸 United StatesSoftwareMid-sizelaunchdarkly.com
$171k–$235.4k/yr