Solutions Architect
$137,600–$189,200 year
RemoteUnited States
Job Summary
Lead strategic engagements to help customers adopt AI-powered applications using LaunchDarkly, focusing on feature-gated rollouts, safe experimentation, and agentic workflows. Partner with engineering teams to integrate the platform into LLM-driven systems, chatbots, and copilots by implementing rollout patterns, guardrails, and kill switches directly in production code. Work hands-on in customer environments to instrument AI systems at inference-time and workflow-level decision points, resolving technical obstacles and establishing best practices for AI delivery. Gather requirements from diverse architectures to recommend creative solutions, then share customer feedback with Product and Engineering to inform future capabilities.
Required Qualifications
- 5+ 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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.