AI Engineer

KEY OBJECTIVES:

We are seeking a highly skilled AI Engineer to lead the design, solutioning, and development of scalable, reusable AI-driven core capabilities for our global Finance Transformation program. This role sits at the intersection of finance, technology, and governance, enabling the development of intelligent, compliant-by-design solutions that support key Finance functions at a global level.

You will partner closely with cross-functional teams including Finance, IT, Global Analytics, Legal, Compliance, and Risk to deliver secure, scalable, and regulatory-aligned AI solutions across the enterprise.

MAJOR RESPONSIBILITIES:

• Lead the architecture, design, and development of AI/ML solutions at a global level to support finance and controllership processes (e.g., close, reconciliation, reporting, anomaly detection etc).
• Build scalable, reusable core AI capabilities that can be leveraged across multiple finance use cases and geographies.
• Translate business requirements into robust technical solutions, ensuring alignment with enterprise architecture and data strategy.
• Collaborate with Finance, IT, Data & Analytics, Legal, Compliance, Security, Enterprise Architecture and Risk teams to design and implement compliant-by-design AI solutions.
• Ensure adherence to regulatory requirements, data privacy laws, and internal governance frameworks.
• Develop and deploy models using modern AI/ML frameworks; ensure model performance, monitoring, and lifecycle management.
• Identify opportunities to automate and optimize finance processes using AI (e.g., intelligent automation, NLP, predictive analytics).
• Provide technical leadership and mentorship to junior engineers and cross-functional teams.
• Ensure high quality code that meets business objectives, quality standards and development guidelines.
• Building reusable pipelines, processes, and tools to streamline LLM and generative AI workflows while driving adoption of MLOps best practices, including CI/CD pipelines, versioning, testing, and model governance.
• Manage project stakeholder expectations and issue communications on progress.
• React to shifting priorities without compromising deadlines and momentum.
• Stay current with emerging AI technologies and assess their applicability within finance and risk-controlled environments.