Senior AI Engineer

🔥 2 hours ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Lead development and deployment of Agentic AI solutions aligned with business goals • Build and scale enterprise AI platform infrastructure • Define best practices and technical direction • Integrate AI platforms with internal systems for diverse business use cases • Create AI prototypes and demos to drive adoption and showcase capabilities • Provide technical leadership and mentor teams • Support cross-functional AI initiatives • Collaborate across engineering, data science, and platform teams • Support solution documentation and technical handover

🎯 Requirements

• Practical experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques • Working knowledge of Agentic AI systems • Experience with core machine learning concepts and implementations • Experience with Azure cloud platforms and AI services • Hands-on DevOps skills • Experience developing microservices using Flask, Django, or Spring (Java) frameworks • Practical experience with GitHub Copilot and other AI tools for developers • Experience translating business problems into AI use cases and technical solutions • Ability to work in Agile delivery teams and iterative development cycles • Strong collaboration skills across engineering, data science, and platform teams • Capability to support solution documentation and technical handover • Problem-solving mindset focused on delivering practical, scalable outcomes

🏖️ Benefits

• Flexible work arrangements allowing employees to choose how, when, and where work is done • Work-life balance and greater empowerment • Opportunities to achieve valuable change and work with new technologies • Opportunities to deepen knowledge and learn new skills while doing the day job • Diverse and inclusive work environment