Staff Solutions Architect – AI

🕒 vor 4 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $158.000 - $257.000 / Jahr

⏰ Vollzeit

🔴 Experte

💻 Lösungsingenieur

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LaunchDarkly

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2014

☁️ SaaS

🏢 Unternehmen

💰 €200.000.000 Series D im 2021-08

SaaS • Enterprise

LaunchDarkly ist ein Softwareunternehmen, das eine Plattform für Feature-Management und Experimentierung anbietet. Seine Lösungen ermöglichen es Entwicklern, Software-Releases über Feature-Flags zu steuern, was gesicherte und schrittweise Rollouts ermöglicht. Die Plattform integriert sich mit verschiedenen Entwickler-Tools und unterstützt mehrere Programmiersprachen, um den Einsatz zu vereinfachen und die Entwicklererfahrung zu verbessern. LaunchDarklys Lösungen bedienen Branchen wie Finanzdienstleistungen, Gesundheitswesen, Hightech, Einzelhandel und Regierung, unter anderem, und bieten eine robuste Infrastruktur, die dabei hilft, maßgeschneiderte und zielgerichtete Benutzererfahrungen zu liefern.

Beschreibung

• 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 implement feature management strategies for AI systems, including LLM-powered applications, agentic workflows, and internal AI platforms. • Advise customers on safe rollout patterns for AI, such as progressive exposure, guardrails, kill switches, and experimentation for model behavior and prompts. • 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, continuously evolving your expertise as the landscape changes. • Advocate for customers by synthesizing feedback and collaborating with Product and Engineering teams to shape future AI-related capabilities.

🎯 Anforderungen

• 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. • Experience working with AI/ML-enabled systems, such as: • 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. • Understanding of Model Context Protocol (MCP) or similar approaches to tool-augmented or agent-based AI systems (or strong interest in learning). • Ability to guide customers in DevOps, CI/CD, and modern release practices, including experimentation and progressive delivery. • 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.

🏖️ Vorteile

• Restricted Stock Units (RSUs) • Health insurance • Vision and dental insurance • Mental health benefits