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
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
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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