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 Por favor, asegúrese de leer completamente el resumen y los requisitos de esta oportunidad de empleo que se detallan a continuación.

About the Role

As an AI Engineer, you will join the Global 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 Integral 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
- 3+ years of experience as a Data Scientist or Machine Learning Engineer
- 1-2 years of hands-on experience delivering GenAI / Agentic AI solutions for real business use cases
- Strong hands-on experience with Machine Learning, Deep Learning and/or Computer Vision
- Proven experience taking AI solutions from proof of concept to production deployment
- Hands-on experience working with LLM ecosystems such as OpenAI, Anthropic, Google, Amazon Bedrock and Hugging Face
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- Experience with LangChain, LangGraph or similar AI orchestration frameworks
- Knowledge of agentic protocols such as MCP and A2A
- Strong problem-solving and analytical skills with the ability to translate business challenges into practical AI solutions
- Pragmatic mindset focused on delivering measurable business value
- Professional working proficiency in English and Spanish

Nice to Have
- Experience building enterprise AI capabilities across different business functions
- Experience within industrial or manufacturing environments
- Experience with MLOps, model monitoring and AI lifecycle management
- Cloud certifications (AWS, Microsoft Azure and/or Google Cloud Platform)
- Knowledge of German and/or French

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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