Posted Jul 14, 2026

AI Engineer, Corporate Planning

Apply for this Role →
About the position We are seeking an AI Engineer to help transform how Corporate Planning, Financial Planning and Analysis (FP&A), and Corporate Strategy leverage data, technology, and artificial intelligence to support business decisions, automate complex workflows, and generate actionable insights. This role will identify, design, and deploy AI-powered solutions, partnering with FP&A, Corporate Strategy, and technology teams to modernize decision making, forecasting, reporting, research, and operational processes.This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership. Responsibilities • Identify, prioritize, and lead AI and automation initiatives across Corporate Planning, FP&A, and Corporate Strategy, partnering with business stakeholders to deliver measurable improvements in productivity, insight generation, and decision-making. • Design, build, deploy, and continuously improve AI-powered applications, agents, copilots, and workflow automations supporting planning, forecasting, reporting, research, and strategic analysis. • Design and deploy AI-powered tools that automate strategic research, data extraction, summarization, recurring analysis, and reporting, enabling faster identification of actionable business insights. • Create systems for continuous monitoring of strategic signals, including market shifts, policy changes, competitor moves, and geopolitical developments, and use AI to identity actionable insights. • Develop retrieval-augmented generation (RAG) solutions that leverage enterprise knowledge, financial data, planning information, and external market intelligence. • Partner with data engineering and technology teams to connect AI solutions to enterprise planning systems, financial applications, and structured and unstructured data sources. • Design scalable architectures that enable secure and governed access to enterprise information. • Partner with business and technical teams to promote AI adoption, share best practices, and support the development of AI capabilities across the organization. • Rapidly prototype and deploy solutions that improve productivity, decision quality, and organizational insight generation. • Evaluate emerging technologies and recommend solutions aligned with business priorities. Requirements • Requires bachelor's degree (or international equivalent) in Computer Science, Data Science, Software Engineering, Applied Mathematics, Statistics, Finance, Economics, or related field and 10-13 years of relevant experience, or 14-17 years of relevant work experience in lieu of a degree. • Experience building and deploying AI-powered solutions, including copilots, intelligent assistants, retrieval-augmented generation (RAG) applications, AI agents, workflow automation, and document intelligence solutions. • Experience with cloud platforms (Azure, AWS, or GCP) data pipelines, and model deployment in production. • Deep understanding of employing AI models to rapidly identify and develop strategic insights from a range of sources (e.g. public datasets, internal information, public news sources). • Understanding of large language models (LLMs), prompt engineering, vector search, embeddings, semantic retrieval, and modern AI application architectures. • Experience integrating applications with enterprise data platforms, APIs, databases, cloud services, and business systems. Nice-to-haves • Master's degree is preferred. • Programming skills in Python and SQL; experience with R, Spark, or Scala is a plus. • Experience applying AI and analytics within finance, corporate strategy, planning, treasury, risk management, or other business functions. • Experience with MS Power Automate, Snowflake, Databricks, Azure, Power BI, Microsoft Copilot, or other Enterprise AI and analytics platforms. • Knowledge of finance systems (e.g., ERP), agent frameworks, orchestration platforms, workflow automation tools, and modern AI development frameworks. • Demonstrated curiosity and passion for emerging AI technologies, with a track record of continuously learning and applying new capabilities to business challenges. • Proven success in leading complex projects from concept to deployment in a matrixed organization. Benefits • comprehensive medical, dental, and vision plans • optional disability and supplemental insurance options • generous paid time off (160 hours annually, accrued 6.16 hours per pay period) • nine paid holidays • paid parental leave • discretionary bonuses • a well-designed 401K plan with matching and profit-sharing components