Lead AI & Data Platform Architect

Jobbydoo; Aguascalientes; Presencial; MXN 600.000 - 800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Career growth

Learning programs

Mentorship and coaching

Descripción de la vacante

Capgemini Mexico is seeking a senior engineer to lead the architecture and delivery of an agentic AI data quality platform on GCP. You will govern solution architecture across AI, data, backend, and frontend tracks and interface with the client teams.

You will own technical risk and drive PoC execution through Week 12 live demos. The role requires hands-on work with LLM pipelines, FastAPI, and REST APIs, plus strong stakeholder communication and the ability to articulate complex technical

Formación

• Proven experience leading AI/data platform PoCs or technical engagements end-to-end.
• Strong knowledge of GCP services including BigQuery, Cloud Run, Vertex AI/Gemini.
• Understanding of multi-agent orchestration, LLM routing and HITL design.
• Experience with data quality frameworks and metadata-driven lineage.
• Excellent communication with senior client counterparts.

Responsabilidades

• Define architecture and interface contracts across all agents and platform layers.
• Lead mid-PoC review and live demo planning and deliver Phase 1 migration plan.
• Own end-to-end technical vision for a 12-week PoC building an agentic AI data quality platform on GCP.

Conocimientos

PoC end-to-end leadership

GCP services expertise

Agentic AI architecture

Data quality & lineage

Stakeholder communication

LLM pipelines

FastAPI

REST API design

Delivery accountability

Educación

Bachelor's or higher in a relevant field

Herramientas

BigQuery

Cloud Run

Vertex AI / Gemini

Descripción del empleo

Capgemini Mexico is seeking a senior engineer to lead the architecture and delivery of an agentic AI data quality platform on GCP. You will govern solution architecture across AI, data, backend, and frontend tracks and interface with the client teams.

You will own technical risk and drive PoC execution through Week 12 live demos. The role requires hands-on work with LLM pipelines, FastAPI, and REST APIs, plus strong stakeholder communication and the ability to articulate complex technical