Senior Solutions Architect
$154,000–$211,000 year
RemoteUnited States
Job Summary
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, including progressive exposure, guardrails, and kill switches directly in the customer's codebase. Build reference implementations, integrations, and prototypes alongside customer engineers, writing production-quality code that demonstrates patterns rather than slides. Work hands-on in customer environments to instrument AI systems with LaunchDarkly at inference-time and workflow-level decision points. Act as a trusted technical advisor to engineering, platform, and AI leaders, identifying and resolving technical obstacles that hinder value realization in complex, distributed systems. Open to 20% travel.
Required Qualifications
- 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
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