Principal AI Solution Architect (Agentic Development Lifecycle)
Контакты
Формат работы
remote (Global)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ukraine/Poland
aitypescriptawsmicroservicesevent driven architecturelanggraphclaude codemcpnodemulti agent systems
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Широкая зона ответственностиВнедрение ИИПередовой стекАутсорсинговая модельПоддержка обучения
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Текст:
Hirify AI/Оригинал
TL;DR
Principal AI Solution Architect (Agentic Development Lifecycle) (AI/Anthropic): Leading the transformation of a 300+ engineer software delivery lifecycle through autonomous coding agents, structured specifications, and custom tooling with an accent on agentic architecture, multi-agent systems, and production delivery. Focus on designing the internal agentic platform, leading brownfield pilots, building MCP tooling and quality guardrails, and driving measurable improvements in engineering delivery.
Location: Remote work from anywhere in the world, or from offices in Kyiv, Lviv, or Warsaw.
Company
hirify.global partners with businesses on technology delivery and is transforming software engineering across 300+ engineers through autonomous coding agents, structured specifications, and custom tooling.
What you will do
Own and evolve the Solution Architecture role, plugins, worker packages, and gate checks within the internal agentic platform, contributing to CLI, controller, and CI workflows.
Lead presales and discovery architecture for US/EU clients, including estimates, architecture briefs, ADRs, and client-facing readiness packages.
Run hands-on agentic pilots across 2–3 delivery projects, auditing codebases, configuring CLAUDE.md and MCP tooling, and proving cycle-time improvements.
Establish standards for spec-first development, reusable agent templates, and automated review and testing pipelines.
Build training programs from Foundation to Lead, mentor tech champions, and run technical office hours.
Define and track delivery metrics including cycle time, agent-produced code, defect rates, and EVM impact for the CTO.
Requirements
7+ years of software engineering experience, including 2+ years as a Solutions Architect or Tech Lead delivering commercial systems for US/EU clients.
Strong experience with microservices, event-driven architectures, AWS, and legacy or brownfield codebases.
Strong TypeScript and Node.js skills, plus hands-on fluency in at least one enterprise stack: Python, Java/Kotlin, .NET, or React.
12+ months of daily, production-grade coding-agent development using Claude Code, with shipped features and at least one measurable agentic SDLC rollout across a team of 5+ engineers.
Practical knowledge of multi-agent patterns, including single-loop, planner/executor, orchestrators, swarms, and agentic RAG; experience building custom MCP servers and clients with robust tool schemas, authentication, and sandboxing.
Feature-level knowledge of the Anthropic stack, including Claude Code, Agent SDK, headless runs, hooks, subagents, prompt caching, memory, and permission modes; working knowledge of OpenAI Agents SDK, LangGraph, and CrewAI.
Experience with spec-driven delivery using OpenSpec, Spec Kit, or BMAD, plus agent quality engineering with automated evaluations, LLM-as-a-judge, tracing, prompt regression testing, and security guardrails.
Ability to run technical discovery, create architectural visions with ADRs and NFR targets, prepare WBS-based estimates, and defend technical choices directly to clients.
Experience running technical workshops, upskilling engineers, assessing competencies, and driving organizational change. Fluent English at B2+ level is required for client demos and debates.
Nice to have
AWS Certified Solutions Architect Professional or Machine Learning Specialty certification.
Open-source contributions, custom plugins, MCP servers, or technical articles about agentic engineering.
Experience with design-to-code pipelines such as Figma MCP, visual regression, or Playwright.
Experience delivering projects under outcome-based or fixed-price models.
Exposure to LLM compliance frameworks such as SOC 2 or HIPAA.
Culture & Benefits
Remote work from anywhere in the world or from offices in Kyiv, Lviv, or Warsaw, with necessary equipment provided.
Paid vacation of 18 working days, 11 public holidays, and 15 sick-leave days.
VIP medical insurance or sports coverage.
Professional development support including online courses, certifications, study compensation, and English courses.
Regular performance appraisals, challenging long-term projects, collaborative culture, and online and offline community activities.
Participation in the hirify.global Charity Fund and an environment built around continuous growth, team synergy, responsibility, openness, and results.
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