Senior Solutions Architect
New
L
LaunchDarklySoftware Development
Remote - USFull-TimeSenior
SalaryZone 1: $171,000 - $235,400; Zone 2: $154,000 - $211,000; Zone 3: $145,000 - $200,000
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Job Details
- Experience
- 4+ years
- Required Skills
- AWSNode.jsPythonGCPJavaJavascriptAzureGoCI/CDDevOps
Requirements
- 4+ years in enterprise software, platform engineering, or solutions architecture, with a hands-on, consultative approach.
- Proficiency in writing production-quality code in one or more modern languages (Python, Java, JavaScript/Node.js, Go, or similar).
- Ability to independently build and ship working integrations and prototypes in a customer's repository.
- 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.
- 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.
Responsibilities
- 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.
- Work hands-on in customer environments to instrument AI systems with LaunchDarkly at inference-time and workflow-level decision points.
- 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.
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