Solutions Architect

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Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

• Develop disaster recovery plans.
• Develop or recommend network security measures, such as firewalls, network security audits, or automated security probes.
• Develop and implement solutions for network problems.
• Maintain networks by performing activities such as file addition, deletion, or backup.
• Coordinate network operations, maintenance, repairs, or upgrades.
• Coordinate installation of new equipment.
• Monitor and analyze network performance and reports on data input or output to detect problems, identify inefficient use of computer resources, or perform capacity planning.
• Develop network-related documentation.

O*NET source

Company facts (cached)

Website: launchdarkly.com

Public cache only — not an employee review.

Role overview (listing rewrite)

LaunchDarkly is hiring a Solutions Architect for its Professional Services organization to serve customers across the United States on a full-time basis. In this customer-focused technical role, you'll guide enterprise teams through implementing AI-powered applications and modern software delivery using LaunchDarkly's platform. What This Role Involves Solutions Architects at LaunchDarkly bridge the gap between customer needs and technical implementation. You'll work directly with customer engineering and platform teams to architect and build production-grade integrations that unlock safe, rapid software and AI application delivery. Your focus will be helping organizations adopt LaunchDarkly's capabilities for controlled AI rollouts, safe experimentation with large language models, governance frameworks, and staged deployment of agent-based systems. Rather than simply advising from the sidelines, you'll code alongside customers, translating strategic vision into working systems that run in their production environments. Responsibilities Drive Professional Services engagements helping customers align their software delivery and AI infrastructure with LaunchDarkly capabilities and industry best practices Partner with engineering teams to integrate feature management into applications powered by LLMs, agentic workflows, and custom AI platforms Design and implement patterns for AI progressive rollout, safety mechanisms, kill switches, and experimentation with models and prompts, customizing approaches to each customer's technical context Build reference implementations and production-ready prototypes that demonstrate AI delivery patterns and integrations Instrument AI systems and inference workflows with LaunchDarkly, establishing monitoring and control points at critical decision layers Support customers deploying chatbots, copilots, and autonomous systems by integrating feature management into runtime decision logic Assess customer architectures, identify technical gaps, and propose practical solutions that fit their constraints and goals Serve as the primary technical advisor to customer leadership and engineering teams throughout engagements Troubleshoot implementation challenges and escalate complex technical issues when necessary Contribute insights on emerging AI delivery patterns and relay customer needs back to product and engineering teams What You Bring 5+ years of hands-on experience in enterprise software, infrastructure platforms, or solutions architecture roles Proven ability to write, test, and deploy production-grade code in at least one modern language such as Python, Java, JavaScript/Node.js, Go, or equivalent Practical experience building or integrating AI-assisted development tools and…

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Questions to ask them

• What does success look like in the first 90 days for this role?
• How is the team structured, and who would I work with most?
• What tools and systems does this role use daily?
• Is the work primarily based in United States, hybrid, or fully remote?