Solutions Architect

ABOUT THE ROLE LaunchDarkly is seeking a Solutions Architect – AI to join our elite Professional Services organization. As a key member of the Revenue team, you will apply your technical expertise to guide customers through transformative implementations of LaunchDarkly, acting as a trusted advisor throughout their journey. This role is mission-critical, as the blast radius from a faulty chatbot or agentic workflow can be exponential. As a Solutions Architect, you will lead strategic engagements focused on helping customers adopt and operationalize AI-powered applications and platforms using LaunchDarkly. This includes supporting use cases such as feature-gated AI rollouts, safe experimentation with LLM-driven systems, AI governance, and progressive delivery of agentic workflows. You will work closely with engineering, platform, and AI leaders to help them integrate LaunchDarkly into modern AI architectures, ensuring AI systems are released safely, observed continuously, and optimized through experimentation. WHAT YOU'LL DO As a Solutions Architect, your responsibilities will include: Supporting Professional Services engagements focused on AI-enabled and traditional software delivery, helping align customer goals with LaunchDarkly best practices. Partnering with customers to implement feature management into their LLM-powered applications, agentic workflows, and internal AI platforms. Helping 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. Contributing to reference implementations, integrations, and prototypes alongside customer engineers writing production-quality code that demonstrates the pattern. Working hands-on in customer environments to instrument AI systems with LaunchDarkly at inference-time and workflow-level decision points. Helping customers building and operating chatbots, copilots, and agent-based systems integrate LaunchDarkly into inference-time and workflow-level decisions. Gathering detailed requirements from customer architectures and recommending solutions to a wide range of technical issues in creative, practical ways. Serving as a knowledgeable point of contact for engineering and platform teams during engagements, advising on day-to-day implementation questions. Resolving common technical obstacles that arise during engagements, escalating novel or highly complex issues as needed. Building working knowledge of LaunchDarkly and emerging AI delivery patterns to stay current as the landscape evolves. Sharing customer feedback with Product and Engineering teams to inform future AI-related capabilities. WHAT YOU'LL NEED To be successful in this role, you will need: 5+ years in enterprise software, platform engineering, or solutions architecture, with a hands-on, consultative approach. The ability to 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