Staff Solutions Architect – AI

🕒 Fevereiro 2

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $158.000 - $257.000 / ano

⏰ Tempo Integral

🔴 Especialista

💻 Engenheiro de Soluções

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LaunchDarkly

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2014

☁️ SaaS

🏢 Corporativo

💰 $200.000.000 Series D em 2021-08

SaaS • Enterprise

LaunchDarkly é uma empresa de software que oferece uma plataforma para gerenciamento de recursos e experimentação. Suas soluções permitem que os desenvolvedores controlem lançamentos de software através de feature flags, possibilitando implantações seguras e progressivas. A plataforma integra-se com várias ferramentas de desenvolvimento e suporta múltiplas linguagens de programação para simplificar a implantação e melhorar a experiência do desenvolvedor. As soluções da LaunchDarkly atendem a indústrias como serviços financeiros, saúde, alta tecnologia, varejo e governo, entre outras, proporcionando uma infraestrutura robusta que auxilia na entrega de experiências de usuário personalizadas e direcionadas.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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