Senior Solutions Architect

LaunchDarkly

Solutions Architect specializing in AI adoption and operationalization, guiding customers in AI integration using LaunchDarkly. Collaborating across teams to enhance software delivery and governance practices.

Posted 7/6/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $145,000 - $235,400 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoGoogle Cloud PlatformJavaJavaScriptLinuxNode.jsPythonSDLC

About the role

Key responsibilities & impact

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, not just a slide describing it.
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, helping them integrate 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, particularly in complex, distributed, or AI-driven systems.
Establish yourself as a subject matter expert on LaunchDarkly and emerging AI delivery patterns, continuously evolving your expertise as the landscape changes.
Advocate for customers by synthesizing feedback and collaborating with Product and Engineering teams to shape future AI-related capabilities.

Requirements

What you’ll need

4+ years in enterprise software, platform engineering, or solutions architecture, with a hands-on, consultative approach.
You can write production-quality code in one or more modern languages (Python, Java, JavaScript/Node.js, Go, or similar) and can independently build and ship working integrations and prototypes in a customer's repository — not just architect them.
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

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

PythonJavaJavaScript/Node.jsGoModel Context Protocol (MCP)CI/CDSDLCLinuxContainersFeature Management

Soft Skills

Consultative ApproachTechnical AdvisoryProblem SolvingCollaborationCustomer Advocacy