Lead AI Engineer - Generative AI & LLM Solutions

Capgemini Engineering; México; Remote; MXN 900,000 - 1,200,000; Full time

Job summary

Capgemini Engineering seeks a Lead AI Engineer to design, develop, and deploy scalable AI and Generative AI solutions that address complex business challenges. You will work across machine learning, LLMs, and cloud-native AI platforms, delivering production-ready intelligent applications.

The role emphasizes architecture design, RAG, APIs, and backend services, with mentorship of fellow engineers and clear communication to stakeholders in English.

Qualifications

• Bachelor degree in Computer Science or equivalent.
• Able to design, deploy and optimize AI solutions for diverse clients.
• Proficient in Python and APIs; cloud-based AI services experience required.
• Strong knowledge of AI, LLMs, RAG, and scalable architectures.
• Excellent communication and ability to mentor engineers.

Responsibilities

• Design, develop, deploy end-to-end AI and Gen AI solutions.
• Contribute to architecture discussions and deployment strategies.
• Build scalable APIs, microservices, and backend services for AI capabilities.
• Evaluate emerging AI tech and trends to drive innovation.

Skills

Python

APIs

Cloud platforms

AI agents

Generative AI

LLMs

Prompt engineering

English communication

Mentorship

Education

Bachelor's degree in Computer Sciences

Tools

Azure AI Services

GCP AI Services

Job description

Capgemini Engineering seeks a Lead AI Engineer to design, develop, and deploy scalable AI and Generative AI solutions that address complex business challenges. You will work across machine learning, LLMs, and cloud-native AI platforms, delivering production-ready intelligent applications.

The role emphasizes architecture design, RAG, APIs, and backend services, with mentorship of fellow engineers and clear communication to stakeholders in English.