Senior Solutions Architect

🕒 Julho 6

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $145.000 - $235.400 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

LaunchDarkly

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2014

💼 Consultoria

🏥 Saúde

📦 Logística

💰 $200.000.000 Series D em 2021-08

Consulting • Healthcare • Logistics

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 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, not just a slide describing it. • 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, 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

• 4+ 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.

🏖️ Benefícios

• Restricted Stock Units (RSUs) • health, vision, and dental insurance • mental health benefits