Senior AI Engineer - GCP

Capgemini; Aguascalientes; Presencial; MXN 800.000 - 1.100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Global exposure

Internal tech challenges

Impact volunteering

Descripción de la vacante

Capgemini Mexico is expanding its AI capabilities with a Senior AI Engineer role focused on modernizing SAS environments to cloud-native platforms on Google Cloud. You will design AI agents, apply Generative AI approaches, and lead cross-functional teams to deliver high-impact AI solutions.

The role requires hands-on experience with Vertex AI, BigQuery, Python, and SQL, plus strong problem-solving and collaboration skills in a global context.

Formación

• 5+ years of experience in Software Engineering, AI Engineering, Data Engineering, or related technical roles.
• 3+ years of hands-on experience developing Generative AI and LLM-based solutions.
• Advanced proficiency in Python and SQL.
• Experience building and deploying production-grade AI applications.
• Experience with AI agent orchestration, RAG, prompt engineering, and LLM integration.
• Hands-on experience with Google Cloud Platform (GCP) services, particularly Vertex AI and BigQuery.
• Knowledge of cloud-native architectures, microservices, APIs, and scalable application design.
• Experience developing automation platforms, developer tools, or modernization frameworks.
• Advanced English proficiency.

Responsabilidades

• Design and deliver AI-powered modernization solutions on Google Cloud.
• Lead development of intelligent AI agents and agents orchestration.
• Collaborate with multidisciplinary teams to build production-ready AI solutions.
• Translate complex business requirements into robust software systems.

Conocimientos

Generative AI

Agentic AI

Cloud-native engineering

Python

SQL

LLM integration

Vertex AI

BigQuery

RAG

prompt engineering

AI agent orchestration

GCP

microservices

APIs

automation platforms

modernization frameworks

communication skills

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.

Job Description

Your Role

As a Senior AI Engineer, you will play a key role in designing and delivering innovative AI-powered modernization solutions that help organizations accelerate the transformation of legacy SAS environments into scalable, cloud-native platforms on Google Cloud. You will lead the development of intelligent AI agents, leverage Generative AI and Agentic AI frameworks, and collaborate with multidisciplinary teams to build high-impact solutions that combine software engineering, data engineering, cloud technologies, and artificial intelligence. This role requires strong technical leadership, hands‑on development expertise, and the ability to translate complex business and technical requirements into robust, production‑ready AI solutions.

Your Profile

• Demonstrates strong expertise in Generative AI, Agentic AI, and cloud-native engineering, transforming complex challenges into scalable, business-focused solutions.


• Applies a problem‑solving mindset with an innovation‑first approach, leveraging emerging technologies to accelerate modernization and deliver measurable value.


• Collaborates effectively across multidisciplinary and global teams, fostering knowledge sharing, technical excellence, and collective success.


• Takes ownership of solution design and delivery, combining technical leadership, accountability, and a commitment to high‑quality outcomes.


• Embraces continuous learning and adaptability, staying at the forefront of AI, data, and cloud technologies while driving meaningful transformation for clients and stakeholders.

Requirements

• 5+ years of experience in Software Engineering, AI Engineering, Data Engineering, or related technical roles.


• 3+ years of hands‑on experience developing Generative AI and LLM-based solutions.


• Advanced proficiency in Python and SQL.


• Experience building and deploying production‑grade AI applications


• Experience with AI agent orchestration, RAG, prompt engineering, and LLM integration.


• Hands‑on experience with Google Cloud Platform (GCP) services, particularly Vertex AI and BigQuery


• Knowledge of cloud‑native architectures, microservices, APIs, and scalable application design.


• Experience developing automation platforms, developer tools, or modernization frameworks.


• Strong analytical, problem‑solving, and communication skills.


• Advanced English proficiency, with the ability to collaborate effectively in global environments.

What you’ll love

LEAD THE CHANGE

• Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies)


• Internal annual global tech challenges to showcase your skills and help address world issues


• Volunteering activities during Impact Together Week to build sustainable & inclusive future

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.