Solutions Architect, AI Focus

About the Job:

Solutions Architects at LaunchDarkly are the core of our elite Professional Services organization, helping customers decouple deploy from release to enable rapid, reliable, and safe software delivery. As a key member of the Revenue team, you will apply your technical expertise to guide customers through transformative implementations of LaunchDarkly, acting as a trusted advisor throughout their journey. As teams ship AI features faster than ever with coding assistants and agentic tooling, this work is mission-critical — the blast radius from a faulty chatbot or agentic workflow can be exponential.

As a Solutions Architect – AI, you will lead strategic engagements focused on helping customers adopt and operationalize AI-powered applications and platforms using LaunchDarkly. This includes supporting use cases such as feature-gated AI rollouts, safe experimentation with LLM-driven systems, AI governance, and progressive delivery of agentic workflows.

In this role, you will work closely with engineering, platform, and AI leaders to help them integrate LaunchDarkly into modern AI architectures, ensuring AI systems are released safely, observed continuously, and optimized through experimentation.

LaunchDarkly's Services team is recognized as best-in-class among our peers. We are rapidly growing, deeply invested in, and central to the company's strategic vision. You'll be part of a high-impact organization redefining how teams ship software and AI-powered products at some of the world's most innovative companies across Technology, Finance & Insurance, Pharmaceuticals & Life Sciences, and Entertainment.

As a Solutions Architect, you'll do more than advise — you'll build alongside customer engineering teams, integrating LaunchDarkly directly into their  systems and shipping working implementations into production. You'll establish best practices for AI delivery, experimentation, and governance, and then prove them out in code.

 

Responsibilities: 

• Support Professional Services engagements focused on AI-enabled and traditional software delivery, helping align customer goals with LaunchDarkly best practices.
• Partner with customers to implement feature management into their LLM-powered applications, agentic workflows, and internal AI platforms.
• Help implement rollout patterns for AI progressive exposure, guardrails, kill switches, and prompt/model experimentation in the customer's codebase, adapting existing patterns to fit each customer's context.
• Contribute to 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.
• Help customers building and operating chatbots, copilots, and agent-based systems integrate LaunchDarkly into inference-time and workflow-level decisions.
• Gather detailed requirements from customer architectures and recommend solutions to a wide range of technical issues in creative, practical ways.
• Serve as a knowledgeable point of contact for engineering and platform teams during engagements, advising on day-to-day implementation questions.
• Resolve common technical obstacles that arise during engagements, escalating novel or highly complex issues as needed.
• Build working knowledge of LaunchDarkly and emerging AI delivery patterns to stay current as the landscape evolves.
• Share customer feedback with Product and Engineering teams to inform future AI-related capabilities.

About You:

• You are a self-starter and excited to take on hard problems.
• You are passionate about helping customers and have a strong sense of ownership.
• You'd rather build the thing than write a deck about it — and you can do both.
• You push back when the obvious answer is the wrong one, and you stay on a problem even when it's technically someone else's.
• You can effectively communicate with experts from different backgrounds, and build strong stakeholder relationships.
• You want to understand how systems actually work — the real version, not the marketing version — which usually means getting into the code.

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.

   

   

Pay:

Target pay ranges based on Geographic Zones* for Level 3:

• Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $152,900 - $210,210**
• Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $137,600 - $189,200**
• Zone 3: All other US locations - $129,900 - 178,640**

LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.

*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. 

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com. 

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. 

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