AI Lead Architect / Engineer

Навыки

• Проектирование архитектуры
• BigQuery
• Решения на данных
• Data Quality
• FastAPI
• Google Cloud
• LLM

О компании и продукте

• Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of
• over 420,000 team members in more than 50 countries. We deliver end-toend services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
• At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome
• and will be considered based on merit against the job and/or experience for the position.

Задачи

• Responsible for defining and governing the solution architecture across all tracks (AI, Data, Backend, Frontend), ensuring parallel workstreams stay aligned, and serving as the primary technical interface with the IHG client team
• Leads the mid-PoC review at Week 7 and the live demo at Week 12, and produces the Phase 1 migration plan and handover documentation
• Define architecture and interface contracts across all 5 agents and platform layers
• Own technical risk across GCP infra, LLM routing, lineage design, and case management
• Chair the weekly status meetings and mid-PoC review sessions
• Produce the evaluation report, access-readiness assessment, and Phase 1 migration plan
• Ensure L1 advisory-only autonomy guardrails are upheld throughout
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Требования

• Proven experience leading AI / data platform PoCs or technical engagements end-to-end
• Strong knowledge of GCP services (BigQuery, Cloud Run, Vertex AI / Gemini).Understanding of agentic AI architecture patterns (multi-agent orchestration, LLM routing, HITL design)
• Experience with data quality frameworks and metadata-driven lineage
• Excellent stakeholder communication
• comfortable presenting to senior client counterparts
• Hands-on experience with building production-grade LLM pipelines or multi-agent systems, FastAPI, event-driven architectures, and REST API design
• Owns the end-to-end technical vision and delivery accountability for a 12-week PoC building an agentic AI data quality platform on GCP
• Engaged, detailed, and curious, not just overseeing tasks."
• What you’ll love
• Empowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges
• Growth and Learning at Every Step: Access continuous learning through internal academies, certifications and mentorship
• Own your growth: Open access to digital learning platforms
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• Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible

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