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Senior AI Engineer

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 7 days ago

No clicks

**Senior AI Engineer** driving Agentic AI solutions, led development and deployment, scaled infrastructure, and mentored teams. Translated business problems into AI use cases. Key skills: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Azure cloud, microservices development (Flask, Django), GitHub Copilot. Experience with Agile delivery, cross-functional collaboration. Join global leader Capgemini Engineering for diverse projects with top-tier clients.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Mexico

Full Job Description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries.

Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

You role

  • Led development and deployment of Agentic AI solutions, ensuring scalable, high-quality outcomes aligned with business goals.
  • Built and scaled enterprise AI platform infrastructure, defining best practices and technical direction.
  • Integrated AI platforms with internal systems to support diverse business use cases.
  • Created AI prototypes and demos to drive adoption and showcase capabilities.
  • Provided technical leadership, mentoring teams and supporting cross-functional AI initiatives.
  • 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.
  • Problemsolving mindset focused on delivering practical, scalable outcomes.

Your profile

  • 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.

What you will love

  • Work on meaningful projects that use technology to solve real-world challenges.
  • Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies).
  • Thrive in a diverse, respectful, and inclusive environment.

About Capgemini

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-to end 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.

Senior AI Engineer

Compensation

Not specified

City: Not specified

Country: Mexico

Capgemini logo
Consultancies

7 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**Senior AI Engineer** driving Agentic AI solutions, led development and deployment, scaled infrastructure, and mentored teams. Translated business problems into AI use cases. Key skills: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Azure cloud, microservices development (Flask, Django), GitHub Copilot. Experience with Agile delivery, cross-functional collaboration. Join global leader Capgemini Engineering for diverse projects with top-tier clients.

Full Job Description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries.

Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

You role

  • Led development and deployment of Agentic AI solutions, ensuring scalable, high-quality outcomes aligned with business goals.
  • Built and scaled enterprise AI platform infrastructure, defining best practices and technical direction.
  • Integrated AI platforms with internal systems to support diverse business use cases.
  • Created AI prototypes and demos to drive adoption and showcase capabilities.
  • Provided technical leadership, mentoring teams and supporting cross-functional AI initiatives.
  • 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.
  • Problemsolving mindset focused on delivering practical, scalable outcomes.

Your profile

  • 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.

What you will love

  • Work on meaningful projects that use technology to solve real-world challenges.
  • Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies).
  • Thrive in a diverse, respectful, and inclusive environment.

About Capgemini

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-to end 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.