About the Company

Our client is a global industry leader undergoing a major AI-driven transformation. As part of its Global AI strategy, the company is investing in enterprise AI capabilities to accelerate business transformation, improve decision-making and unlock value across the organization. Joining the Global AI team means becoming part of a strategic function focused on delivering scalable, production-ready AI solutions with real business impact

¿Le interesa este puesto? Puede encontrar toda la información relevante en la descripción a continuación.

About the Role

As an AI Engineer, you will join the General AI team, designing, developing and deploying end-to-end AI solutions that solve complex business challenges and deliver measurable value. Initially focused on Generative AI, Agentic AI and LLM-based applications, you will take solutions from experimentation to production while helping build scalable, enterprise-ready AI capabilities

Responsibilities

Analyze business challenges and transformation opportunities, translating them into effective AI-driven solutions

Assess and select the most appropriate AI approach (Machine Learning, Deep Learning, Computer Vision, Generative AI, Agentic AI or hybrid solutions) for each business use case

Execute end-to-end AI projects, from discovery, experimentation and prototyping through to production deployment and business adoption

Design, integrate and deploy scalable AI solutions in enterprise environments

Support the first wave of business transformation initiatives within Finance, while building reusable AI assets and best practices that can be applied across other business domains

Ensure AI solutions meet performance, robustness, scalability, security and maintainability requirements





Deploy AI solutions into production environments and support model monitoring, retraining and lifecycle management

Adhere to architectural, security and AI governance standards defined by the Global AI Department

Continuously explore and evaluate emerging AI techniques, models and technologies, assessing their applicability within enterprise environments

Contribute to proofs of concept, technical evaluations and reusable delivery patterns

Share technical insights and recommendations with both business and technical stakeholders

Requirements

Must Have

5+ years of professional experience in Artificial Intelligence, with a solid foundation in Machine Learning, Deep Learning and/or Data Science. Within this experience, 1–2 years of hands-on work with Generative AI and/or Agentic AI solutions applied to real business use cases

Proven experience taking AI solutions from experimentation or proof of concept through to production deployment

Strong Python skills and practical experience xqziphu with LLMs and AI orchestration frameworks such as LangChain, LangGraph or similar

Ability to understand business challenges and translate them into practical, scalable AI solutions

Experience collaborating with business and technical stakeholders in enterprise environments

Professional working proficiency in English and Spanish

Nice to Have

Experience with AWS, Microsoft Azure and/or Google Cloud Platform

Knowledge of agentic protocols such as A2A and MCP

Relevant cloud or AI certifications

Experience in banking, retail, pharmaceutical and/or manufacturing environments

Exposure to AI-enabled business process transformation with measurable impact

Experience working in global corporate environments

If you're ready to help shape the future of enterprise AI as part of a Global AI team, we'd love to hear from you!

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