Google Cloud AI Engineer

Capgemini

Aguascalientes

Presencial

MXN 700.000 - 1.000.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Capgemini Mexico is seeking a Google Cloud AI Engineer to shape next-generation AI solutions that unlock enterprise value. You will design, build, and scale Generative AI applications using Google Cloud technologies, Gemini models, and advanced AI architectures.

You will collaborate in an agile environment, applying responsible AI practices and secure-by-design principles to deliver measurable business impact at scale.

Formación

  • Demonstrated expertise in Google Cloud Platform (GCP) and Generative AI.
  • Experience building scalable AI/ML solutions for enterprises.
  • Strong knowledge of RAG architectures and semantic search.
  • Ability to design and integrate cloud-native apps via REST APIs and microservices.

Responsabilidades

  • Design, build and scale Generative AI applications on Google Cloud.
  • Architect and implement RAG and semantic search solutions.
  • Collaborate across teams and apply agile practices to deliver impact.

Conocimientos

Google Cloud Platform (GCP)
Generative AI
Gemini models
AI/ML engineering
REST APIs
Microservices
Agile methods
Responsible AI

Educación

Bachelor or Master in Computer Science/Engineering

Herramientas

Cloud-native tools
AI platforms

Descripción del empleo

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. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Google Cloud AI EngineerYour RoleAs a Google Cloud AI Engineer, you will play a key role in shaping and delivering next-generation AI solutions that help enterprises unlock value from their data and accelerate business transformation. Working within Capgemini's global innovation ecosystem, you will design, build, and scale Generative AI applications leveraging Google Cloud technologies, Gemini models, and advanced AI architectures.Your ProfileDemonstrated expertise in Google Cloud Platform (GCP), Generative AI, Gemini models, and AI/ML engineering to build scalable, business-focused solutions.Strong experience designing RAG architectures, semantic search capabilities, and intelligent agent solutions that enhance decision-making and user experiences.Ability to develop and integrate cloud-native applications using REST APIs, microservices, and modern AI platforms within enterprise environments.Collaborative mindset with a passion for innovation, continuous learning, and delivering impact through agile ways of working.Commitment to Responsible AI, quality engineering, and secure-by-design principles while driving technology transformation at scaleWhat you’ll loveWork on meaningful projects that use technology to solve real-world challenges.Be part of a company that values sustainability, inclusion, and digital equity.Contribute to building a better future for people, planet, and society.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.
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