Solutions Architect

Responsibilities

• Support Professional Services engagements focused on AI-enabled and traditional software delivery, helping align customer goals with LaunchDarkly best practices.
• Partner with customers to implement feature management into their LLM-powered applications, agentic workflows, and internal AI platforms.
• Help implement rollout patterns for AI progressive exposure, guardrails, kill switches, and prompt/model experimentation in the customer's codebase, adapting existing patterns to fit each customer's context.
• Contribute to 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.
• Help customers building and operating chatbots, copilots, and agent-based systems integrate LaunchDarkly into inference-time and workflow-level decisions.
• Gather detailed requirements from customer architectures and recommend solutions to a wide range of technical issues in creative, practical ways.
• Serve as a knowledgeable point of contact for engineering and platform teams during engagements, advising on day-to-day implementation questions.
• Resolve common technical obstacles that arise during engagements, escalating novel or highly complex issues as needed.
• Build working knowledge of LaunchDarkly and emerging AI delivery patterns to stay current as the landscape evolves.
• Share customer feedback with Product and Engineering teams to inform future AI-related capabilities.

Qualifications

• 5+ 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.

Nice-to-Haves

• Passion for building alongside customers rather than just advising.
• Strong communication skills across technical and non-technical stakeholders.
• Self-starter with ownership mindset and persistence on hard problems.