Senior Solutions Architect

Solutions Architect focused on helping enterprise customers safely adopt and operationalize AI-powered applications and agentic workflows using LaunchDarkly's feature management platform. Build production integrations, reference implementations, and safe rollout patterns (progressive delivery, experimentation, guardrails) directly in customer codebases while acting as a trusted technical advisor.

About the job

Responsibilities

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 — progressive exposure, guardrails, kill switches, and prompt/model experimentation — directly in the customer's codebase.
Build reference implementations, integrations, and prototypes alongside customer engineers — writing production-quality code that demonstrates the pattern.
Work hands-on in customer environments to instrument AI systems with LaunchDarkly at inference-time and workflow-level decision points.
Support customers building and operating chatbots, copilots, and agent-based systems, helping them integrate LaunchDarkly into inference-time and workflow-level decisions.
Apply a consultative approach to understand customer architectures, gather detailed requirements, and influence key technical and organizational decisions.
Act as a trusted technical advisor to engineering, platform, DevOps, and AI leaders.
Identify and resolve technical obstacles that hinder value realization, particularly in complex, distributed, or AI-driven systems.
Establish yourself as a subject matter expert on LaunchDarkly and emerging AI delivery patterns.
Advocate for customers by synthesizing feedback and collaborating with Product and Engineering teams to shape future AI-related capabilities.

Qualifications

4+ years in enterprise software, platform engineering, or solutions architecture, with a hands-on, consultative approach.
Ability to write production-quality code in one or more modern languages (Python, Java, JavaScript/Node.js, Go, or similar) and independently build and ship working integrations and prototypes in a customer's repository.
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.

Nice-to-Haves

Passion for building the thing rather than just writing a deck.
Strong communication skills with experts from different backgrounds.
Desire to understand how systems actually work by getting into the code.
Self-starter with strong ownership and problem-solving mindset.

Compensation

Target pay ranges based on Geographic Zones for Level 4 (includes RSUs, health, vision, dental, and mental health benefits in addition to salary):

Zone 1 (San Francisco/Bay Area, NYC, Boston, Seattle): $171000 - $235400
Zone 2 (Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago): $154000 - $211000
Zone 3 (All other US locations): $145000 - $200000