The Impact You'll Make: Hands-On AI Enablement & Delivery Work directly with Equity Research, Institutional Sales, Trading, and Corporate Access teams to identify, build, test, and scale high-impact AI use cases Personally prototype and deliver solutions using M365 Copilot, Copilot Studio, ChatGPT, Claude, and agent-based AI frameworks Practical AI Application & Fluency Apply generative and agentic AI to real workflows, including research production, content creation, client insights, idea generation, and decision support Translate AI capabilities and limitations into clear, actionable business value for end users and leaders Education, Enablement & Adoption Embed with teams to understand how work gets done, surface opportunities, and drive adoption through delivered solutions Act as a hands-on resource for teams applying AI to their day-to-day work AI Solution Delivery & Execution Rapidly test ideas, gather feedback, iterate, and scale successful use cases in partnership with technology teams Maintain focus and prioritization to ensure efforts drive measurable productivity, revenue, and adoption outcomes Strategic Leadership & Vision Set and communicate a clear, practical vision for how AI is applied across IER, grounded in real workflows and business priorities Continuously explore emerging AI capabilities and identify the highest-impact opportunities across Research, Sales, Trading, and Corporate Access What You'll Bring to Baird: 3-7 years of professional experience, including hands-on application of AI in a business environment Demonstrated experience building, prototyping, or implementing AI-enabled solutions used in real workflows in a professional setting Strong working knowledge of generative AI, agentic concepts, and enterprise AI tools (e.g., M365 Copilot, Copilot Studio, ChatGPT, Claude) High degree of curiosity and motivation to continuously explore new AI capabilities and practical applications Comfort experimenting, iterating, and learning by doing rather than operating only at a conceptual level Experience in equity research, institutional sales, trading, or a related financial domain preferred, or the ability to quickly learn complex workflows Proven ability to work directly with end users to deliver practical, high-impact solutions Strong interpersonal and communication skills, with the ability to engage technical and non-technical audiences Bias toward action, ownership, and delivering tangible results Passion for applying AI to solve real business problems and improve how work gets done Bachelor's degree in Business, Computer Science, Data Science, or a related field required Why This Role: This is a unique opportunity to sit at the intersection of AI and the front lines of the Institutional Equities business with direct access to senior leaders and end users. This role is focused on hands-on identification, prototyping, and delivery of high-impact AI use cases that improve how work gets done across Equity Research, Institutional Sales, Institutional Trading, and Corporate Access.