Principal AI Solution Architect (Agentic Development Lifecycle)

Geniusee, за кордоном

Що робити

● Own and evolve the Solution Architecture role, plugins, worker packages, and gate checks inside our internal agentic platform; contribute to CLI, controller, and CI workflows.
● Act as the hands-on SA on presales and discovery phases for US/EU clients (ballpark estimates, solution architecture briefs, ADRs, client-facing readiness packages).
● Lead hands-on pilot implementations across 2–3 delivery projects simultaneously, auditing codebases, s

● 7+ years in software engineering, with 2+ years as a Solutions Architect or Tech Lead delivering commercial systems for US/EU clients. Strong background in microservices, event-driven architectures, AWS, and working with legacy/brownfield codebases.
● Strong TypeScript/Node.js (platform core), plus hands-on fluency in at least one enterprise stack (Python, Java/Kotlin, .NET, or React).
● 12+ months of daily, production-grade development using coding agents (Claude Code required; Cursor or Codex as a plus) with shipped features and at least one measurable agentic SDLC rollout across a team of 5+ engineers.
● Deep practical knowledge of multi-agent patterns (single loop, planner/executor, orchestrators, swarms, agentic RAG) and hands-on experience building custom MCP servers/clients, designing robust tool schemas, auth, and sandboxing.
● Feature-level mastery of the Anthropic stack (Claude Code, Agent SDK, headless runs, hooks, subagents, prompt caching, memory, permission modes) and working knowledge of alternative stacks (OpenAI Agents SDK, LangGraph, CrewAI) to defend model routing by cost, latency, and capability.

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