4 часа назад
AI Lead Architect / Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Lead Architect / Engineer (AI): Defining and governing the architecture for a 12-week agentic AI data quality platform PoC on GCP with an accent on multi-agent orchestration, LLM routing, data lineage, and cross-track technical alignment. Focus on building production-grade LLM pipelines, designing interface contracts across five agents, managing technical risks, and delivering migration and handover plans.
Location: Aguascalientes, Mexico
Company
is a global business and technology transformation partner delivering AI, technology, design, engineering, and business operations services.
What you will do
- Define and govern solution architecture across AI, data, backend, and frontend workstreams.
- Act as the primary technical interface with the IHG client team and align parallel delivery tracks.
- Define architecture and interface contracts across five agents and platform layers.
- Lead the mid-PoC review at week 7, live demo at week 12, weekly status meetings, and review sessions.
- Own technical risks across GCP infrastructure, LLM routing, data lineage, and case management.
- Produce the evaluation report, access-readiness assessment, Phase 1 migration plan, and handover documentation.
Requirements
- End-to-end experience leading AI or data platform PoCs and technical engagements.
- Strong knowledge of GCP services, including BigQuery, Cloud Run, Vertex AI, and Gemini.
- Understanding of agentic AI architecture, multi-agent orchestration, LLM routing, and human-in-the-loop design.
- Experience with data quality frameworks and metadata-driven lineage.
- Hands-on experience building production-grade LLM pipelines or multi-agent systems with FastAPI, event-driven architectures, and REST APIs.
- Strong stakeholder communication skills and confidence presenting to senior client counterparts.
Culture & Benefits
- Work on technology projects addressing real-world challenges.
- Access continuous learning through internal academies, certifications, mentorship, and digital learning platforms.
- Work in a collaborative, diverse, and inclusive environment.
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