Staff Solutions Architect – AI

🕒 il y a 4 mois

🇺🇸 États-Unis – Télétravail

💵 $158 000 - $257 000 / an

⏰ Temps Plein

🔴 Expert

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

LaunchDarkly

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2014

☁️ SaaS

🏢 Entreprise

💰 €200 000 000 Series D en 2021-08

SaaS • Enterprise

LaunchDarkly est une entreprise de logiciels proposant une plateforme de gestion des fonctionnalités et d'expérimentation. Ses solutions permettent aux développeurs de contrôler les déploiements de logiciels grâce à des drapeaux de fonctionnalités, favorisant des mises en production progressives et sécurisées. La plateforme s'intègre à divers outils de développement et prend en charge plusieurs langages de programmation pour simplifier le déploiement et améliorer l'expérience des développeurs. Les solutions de LaunchDarkly s'adressent à des secteurs tels que les services financiers, la santé, la haute technologie, le commerce de détail et le gouvernement, entre autres, fournissant une infrastructure robuste qui aide à offrir des expériences utilisateur personnalisées et ciblées.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

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