Senior Solutions Architect, AI Focus

About the role: Solutions Architects at LaunchDarkly are part of the Professional Services organization within the Revenue team, guiding customers through implementations of the LaunchDarkly feature management platform. This AI-focused role leads strategic engagements helping customers adopt and operationalize AI-powered applications and platforms, including feature-gated AI rollouts, safe experimentation with LLM-driven systems, AI governance, and progressive delivery of agentic workflows. The Solutions Architect builds alongside customer engineering teams, integrating LaunchDarkly directly into their systems and shipping working implementations into production.

• Lead complex Professional Services engagements focused on AI-enabled and traditional software delivery, aligning customer goals with LaunchDarkly best practices.
• Design and build feature management into customers' LLM-powered applications, agentic workflows, and internal AI platforms.
• Implement safe rollout patterns for AI — progressive exposure, guardrails, kill switches, and prompt/model experimentation — directly in customer codebases.
• Build reference implementations, integrations, and prototypes alongside customer engineers, writing production-quality code.
• Instrument AI systems with LaunchDarkly at inference-time and workflow-level decision points; support customers building and operating chatbots, copilots, and agent-based systems.
• Act as a trusted technical advisor to engineering, platform, DevOps, and AI leaders; identify and resolve technical obstacles in complex, distributed, or AI-driven systems.

• 4+ years in enterprise software, platform engineering, or solutions architecture with a hands-on, consultative approach.
• Production-quality code in one or more modern languages (Python, Java, JavaScript/Node.js, Go, or similar).
• 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.
• Ability to guide customers in DevOps, CI/CD, and modern release practices, including experimentation and progressive delivery.
• Hands-on experience with a major cloud provider (AWS, Azure, or GCP), Linux, and containers.
• Open to 20% travel.

Compensation: Target pay ranges for Level 4 by geographic zone: Zone 1 (San Francisco/Bay Area, NYC Metropolitan Area, Boston, Seattle) $171,000–$235,400; Zone 2 (Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago) $154,000–$211,000; Zone 3 (all other US locations) $145,000–$200,000. Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits are offered in addition to salary.