Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities + Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations + Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans + Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms + Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications + Identify delivery risks, track dependencies, and support project execution across cross-functional teams A successful candidate would possess these skills: + Ability to work independently and collaborate as part of a team + Effective written and verbal communication skills + Meticulous attention to detail and quality of work product + Ability to build and sustain professional relationships + Ability to lead projects or workstreams + Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment + Strong interpersonal skills and professional demeanor + Ability to meet deadlines + Ability to provide clear guidance to others The team Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators. Qualifications Required: + 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions + Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments + Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini + Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations + Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics + Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.