Senior Solutions Architect

About the role

This role is central to our Professional Services team, guiding clients in adopting LaunchDarkly to achieve faster, more reliable, and secure software releases. You will act as a key technical advisor, helping customers integrate LaunchDarkly into their AI-driven applications and platforms. The work is critical for enabling safe feature rollouts and experimentation in the rapidly evolving AI landscape.

Key facts

What you'll do

• Lead client engagements focused on AI and traditional software delivery, aligning their objectives with LaunchDarkly's capabilities.
• Collaborate with clients to integrate feature management into their AI applications, including LLM-powered systems and agentic workflows.
• Design and assist in implementing safe AI rollout strategies, such as progressive exposure, guardrails, and model experimentation, directly within client codebases.
• Develop and deliver working code examples, integrations, and prototypes alongside client engineering teams.
• Work directly within client environments to instrument AI systems with LaunchDarkly at inference and workflow decision points.
• Provide consultative guidance on client architectures, gather requirements, and influence technical and organizational decisions.
• Serve as a trusted technical advisor to engineering, platform, DevOps, and AI leadership.
• Identify and resolve technical challenges that impede client value realization, particularly in complex or AI-focused systems.
• Become a subject matter expert on LaunchDarkly and emerging AI delivery patterns, staying current with industry advancements.
• Synthesize client feedback to inform and shape future AI-related product capabilities.

Requirements

• Minimum of 4 years of experience in enterprise software, platform engineering, or solutions architecture, with a hands-on, consultative approach.
• Proficiency in writing production-quality code in at least one modern language (Python, Java, JavaScript/Node.js, Go, or similar) to build and ship working integrations.
• Hands-on experience with AI-assisted development tools such as Claude Code or Cursor.
• Understanding of Model Context Protocol (MCP) or similar agent-based approaches, or a strong willingness to learn.
• Ability to guide clients on DevOps, CI/CD, and modern release practices, including experimentation and progressive delivery.
• Experience delivering across the full software development lifecycle in enterprise settings and leading teams through development or platform transformations.
• Solid understanding of how feature management and experimentation platforms enhance and de-risk software delivery.
• Hands-on experience with a major cloud provider (AWS, Azure, or GCP), Linux, and container technologies.
• Willingness to travel up to 20%.

Skills & tools

• Python
• Java
• JavaScript/Node.js
• Go
• AWS
• Azure
• GCP
• Linux
• Docker
• Kubernetes
• Claude Code
• Cursor
• Model Context Protocol (MCP)

Practical notes

• Salary ranges:
• Zone 1 (San Francisco/Bay Area, NYC Metro, Boston, Seattle): $171,000 - $235,400
• Zone 2 (Irvine, LA, Austin, Portland, Chicago, etc.): $154,000 - $211,000
• Zone 3 (All other US locations): $145,000 - $200,000
• Compensation includes Restricted Stock Units (RSUs), health, vision, dental insurance, and mental health benefits.
• Exact compensation will vary based on skills, experience, and location.
• LaunchDarkly recruiters will only contact you from @LaunchDarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts.
• Do not share financial information or pay fees to any recruiter.
• Legitimate job offers are made only after a formal interview process.