Solutions Architect, AI

Solutions Architects at Launch Darkly are the core of our elite Professional Services organization, helping customers decouple deploy from release to enable rapid, reliable, and safe software delivery. As a key member of the Revenue team, you will apply your technical expertise to guide customers through transformative implementations of Launch Darkly, acting as a trusted advisor throughout their journey.

As a Staff Solutions Architect - AI
, you will lead strategic engagements focused on helping customers adopt and operationalize AI-powered applications and platforms using Launch Darkly. This includes supporting use cases such as feature-gated AI rollouts, safe experimentation with LLM-driven systems, AI governance, and progressive delivery of agentic workflows.

In this role, you will work closely with engineering, platform, and AI leaders to help them integrate Launch Darkly into modern AI architectures
, ensuring AI systems are released safely, observed continuously, and optimized through experimentation.

Launch Darkly’s Services team is recognized as best-in-class among our peers. We are rapidly growing, deeply invested in, and central to the company’s strategic vision. You’ll be part of a high-impact organization redefining how teams ship software and AI-powered products at some of the world’s most innovative companies across Technology, Finance & Insurance, Pharmaceuticals & Life Sciences, and Entertainment.

As a Staff Solutions Architect, you won’t just implement a product—you’ll drive organizational change. You’ll help customers establish best practices for AI delivery, experimentation, and governance
, enabling them to move fast without compromising safety or reliability.

• Lead complex Professional Services engagements focused on AI-enabled and traditional software delivery
  , aligning customer goals with Launch Darkly 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 Launch Darkly 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, Dev Ops, 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 Launch Darkly 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.

• You are a self‑starter and excited to take on hard problems.
• You are passionate about helping customers and have a strong sense of ownership.
• You can effectively communicate with experts from different backgrounds, and build strong stakeholder relationships.
• You have a technical background and are interested in a customer-facing role.
• You are a deeply curious individual, who is not comfortable with just getting enough context to give an answer. You feel the need to understand how things work underneath.

• 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.
• Experience working with low code/no code solutions i.e. Claude Code, Cursor, Retool etc
• Experience working with AI/ML-enabled systems
  , such as:
• Prompt-driven or agentic workflows
• Chatbots, copilots, or conversational interfaces
• Model or prompt experimentation and evaluation
• Familiarity…