LLM Solutions Architect

Xsolla
United States
Workplace: HybridFull timeUSD 85,000 - 120,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Python","LLM","AI systems","Observability","Documentation","Runbooks","Tool-use","Function calling","Multi-step reasoning","Orchestration","RAG","Vector databases","LangChain","LlamaIndex","OpenAI","Anthropic","Google Gemini","API","SDK"]

Bridge product strategy and engineering by designing agentic, end-to-end LLM-powered architectures. Define multi-modal interfaces, build a horizontal LLM platform with reusable components, prototype rapidly to validate hypotheses, and ensure observability and runbooks so product engineering squads can own what you ship.

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Xsolla
Xsolla
2 months ago

LLM Solutions Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Bridge product strategy and engineering by designing agentic, end-to-end LLM-powered architectures. Define multi-modal interfaces, build a horizontal LLM platform with reusable components, prototype rapidly to validate hypotheses, and ensure observability and runbooks so product engineering squads can own what you ship.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Manager level

Key Responsibilities

  • •Design end-to-end agentic architectures—tool-use schemas, intent parsing, multi-step orchestration, and safety guardrails—engineered for long-term ownership by product engineering teams, not solo maintenance.
  • •Define the multi-modal interface strategy across our product portfolio: how the same capability is exposed via UI, API, SDK, and agentic natural language — consistently and without duplication.
  • •Design the horizontal LLM platform layer—shared RAG pipelines, prompt libraries, vector search infrastructure, and evaluation frameworks—that product engineering teams can build on and operate independently.
  • •Prototype rapidly to validate AI product hypotheses before full engineering investment. Prototype acceptance by product teams is a primary success signal.
  • •Ensure every system you architect comes with the observability, documentation, and engineering runbooks needed for a product squad to take ownership confidently.

Pay and Benefits

Salary: USD 85,000 - 120,000 annually
Perks:Health InsuranceDentalVisionPaid LeaveLearning Budget

Key Requirements

  • •5+ years of engineering experience, with at least 2 years designing and deploying LLM-powered systems in production
  • •Proven track record designing agentic systems: tool-use, function calling, multi-step reasoning, orchestration, and error recovery at production scale
  • •Experience designing AI systems for engineering team ownership — including observability standards, handoff documentation, and runbooks that let other teams maintain what you build
  • •Hands-on experience with major LLM APIs (OpenAI, Anthropic, Google Gemini) and at least one open-source model stack
  • •Experience building RAG pipelines with vector databases and orchestration frameworks (LangChain, LlamaIndex, or custom)
Experience:5+ yearsGamingMonetizationDeveloper tools
Skills:PythonLLMAI systemsObservabilityDocumentationRunbooksTool-useFunction callingMulti-step reasoningOrchestrationRAGVector databasesLangChainLlamaIndexOpenAIAnthropicGoogle GeminiAPISDK
Languages:English
Tech Stack:PythonOpenAIAnthropicGoogle GeminiLangChainLlamaIndexVector databasesRAGAPISDK

Company Brief

Xsolla
Provides payment, billing, distribution and commerce solutions for video game developers and publishers, enabling in-game purchases, store infrastructure, fraud protection, and global payment processing to monetize games across platforms and regions.
Industry: Payments
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: Sherman Oaks, Los Angeles, United States
Founded: 2005
WebsiteLinkedIn