LaunchDarkly - Staff Solutions Architect - AI
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Requirements
• 10+ years of experience in enterprise software, platform engineering, or solutions architecture roles. • Strong hands-on technical background with a consultative, customer-focused approach. • Experience implementing and advising across the full software development lifecycle in enterprise environments. • Proficiency in one or more modern programming languages, including Python, Java, JavaScript/Node.js, Go, or similar. • Experience working with low code/no code solutions i.e. Claude Code, Cursor, Retool etc • low code/no code solutions • Experience working with AI/ML-enabled systems, such as: • AI/ML-enabled systems • Large Language Models (LLMs) • Prompt-driven or agentic workflows • Chatbots, copilots, or conversational interfaces • Model or prompt experimentation and evaluation • Familiarity with AI development tooling and datasets, including Python-based data workflows. • AI development tooling and datasets • Understanding of Model Context Protocol (MCP) or similar approaches to tool-augmented or agent-based AI systems (or strong interest in learning). • Model Context Protocol (MCP) • Ability to guide customers in DevOps, CI/CD, and modern release practices, including experimentation and progressive delivery. • DevOps, CI/CD, and modern release practices • Experience leading teams through development or platform transformations. • Ability to synthesize large amounts of information and provide prescriptive technical recommendations. • Proven ability to manage multiple concurrent engagements while prioritizing effectively. • Experience in both pre-sales and post-sales customer engagements. • Experience with LaunchDarkly or other feature management / experimentation platforms. • Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). • Experience working with Linux, containers, and virtualized environments. • Open to 20% travel • Target pay ranges based on Geographic Zones* for Level P5: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $187,000 - $257,000** • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $168,000 - $231,000** • Zone 3: All other US locations - $158,000 - $218,000** • 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. • 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
Responsibilities
• Lead complex Professional Services engagements focused on AI-enabled and traditional software delivery, aligning customer goals with LaunchDarkly best practices. • AI-enabled and traditional software delivery • Partner with customers to design and implement feature management strategies for AI systems, including LLM-powered applications, agentic workflows, and internal AI platforms. • feature management strategies for AI systems • Advise customers on safe rollout patterns for AI, such as progressive exposure, guardrails, kill switches, and experimentation for model behavior and prompts. • safe rollout patterns for AI • Support customers building and operating chatbots, copilots, and agent-based systems, helping them integrate LaunchDarkly into inference-time and workflow-level decisions. • chatbots, copilots, and agent-based systems • 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. • complex, distributed, or AI-driven systems • Establish yourself as a subject matter expert on LaunchDarkly and emerging AI delivery patterns, continuously evolving your expertise as the landscape changes. • AI delivery patterns • Advocate for customers by synthesizing feedback and collaborating with Product and Engineering teams to shape future AI-related capabilities. • 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 can effectively communicate with experts from different backgrounds, and build strong stakeholder relationships. • You have a technical background and are interested in a customer-facing role. • You are a deeply curious individual, who is not comfortable with just getting enough context to give an answer. You feel the need to understand how things work underneath.
Benefits
• Competitive salary with performance bonuses based on client satisfaction and project success. • Comprehensive healthcare plan including medical, dental, and vision coverage for employees and their families. • Generous retirement savings plan matching up to a certain percentage of employee contributions. • Flexible work schedule options such as remote working days or flexible hours within the office environment. • Annual performance reviews with potential salary increases based on merit, experience, and market rates for similar roles in our industry.
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