7 часов назад
AI Solution Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solution Architect (AI): Leading the design and delivery of enterprise AI systems and agentic workflows with an accent on RAG pipelines and data foundations. Focus on architecting multi-agent systems, integrating AI with enterprise systems, and driving AI adoption across the SDLC.
Location: Remote (Global)
Company
is a software development outsourcing company specializing in EdTech, Fintech, eCommerce, and Pharma.
What you will do
- Design end-to-end AI architectures that map to real business goals.
- Architect solutions for copilots, RAG, document intelligence, conversational AI, and multi-agent systems.
- Build AI-ready data layers including vector stores, semantic search, and knowledge graphs.
- Integrate AI with systems of record (ERP, CRM, HRIS, etc.) via APIs and event streams.
- Drive AI adoption across the SDLC (design, coding, testing, CI/CD) to accelerate delivery.
- Provide technical leadership through architecture standards, governance, and mentoring.
Requirements
- 8+ years in software architecture, including 3+ years delivering production AI solutions.
- Hands-on experience with major LLM platforms (OpenAI, Anthropic, Gemini, AWS Bedrock, or Azure OpenAI).
- Proficiency in Python and experience with at least one major cloud (AWS, Azure, or GCP).
- Practical experience with agentic frameworks such as LangGraph, LangChain, LlamaIndex, or Semantic Kernel.
- Proven experience building RAG systems and working with vector databases.
- Excellent stakeholder communication skills to explain technical tradeoffs to executives and engineers.
Nice to have
- TypeScript/JavaScript for full-stack or agent-tooling development.
- Knowledge of graphs, data lakes, and semantic modeling.
- Experience with LLMOps, prompt versioning, and observability.
- Familiarity with AI governance, security, and compliance (PII, data residency).
- Prior consulting or client-facing delivery experience.
Culture & Benefits
- Fully remote work environment.
- Flexible, hourly-based freelance opportunities.
- Professional, welcoming, and international team atmosphere.
- Opportunity to work on high-impact enterprise AI projects.
Hiring process
- Recruiting Interview (30-45 min).
- Technical Interview (1-1.5h).
- Client Interview (optional, up to 1h).
- Reference Check and Offer.
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