Manager, AI (Finance)

Position Summary

Are you passionate about transforming how Finance teams leverage AI to work smarter? Join Walmarts AI Center of Excellence, where you'll provide technical leadership for cuttingedge AI and Large Language Model (LLM) initiatives that empower our Finance organization.

This hybrid role combines strategic technical oversight with handson problemsolving. You'll guide teams in building intelligent AI solutions while ensuring they meet Walmarts standards for quality, scalability, and responsible AI. Your expertise in modern AI patterns-including Model Context Protocol (MCP) and RetrievalAugmented Generation (RAG)-will help shape the future of AIdriven financial workflows at one of the worlds largest retailers.

About Team

The AI Center of Excellence partners with business functions across Walmart to design and implement nextgeneration AI solutions that make a real difference. Our team focuses on applying modern AI and LLM capabilities to:

Enhance productivity across the enterprise

Improve decisionmaking with intelligent insights

Simplify complex workflows through automation

Democratize AI capabilities for all associates

As part of the Finance AI COE team, youll work at the intersection of technology and business, helping Finance teams leverage AI to drive better outcomes for Walmart and our customers.

What Youll Do

Technical Leadership & Solution Oversight

Provide technical direction and architectural guidance for AI/LLM initiatives supporting Finance workflows and analytics

Review solution designs and implementation approaches to ensure alignment with best practices, governance, and responsible AI principles

Translate complex Finance business needs into AIenabled solution strategies and actionable technical requirements

Oversee the development of intelligent assistants that interpret natural language prompts and deliver insights

Exposure to conversational AI architectures will be helpful

Research, evaluate, and recommend AI platforms and services to enhance Finance processes

Modern AI Patterns & Innovation

Guide teams in adopting and implementing modern AI patterns, including:

Model Context Protocol (MCP) for structured model interaction

RetrievalAugmented Generation (RAG) for enhanced grounding and context

Support development of natural languagedriven capabilities, conversational interfaces, and AIpowered automation

Champion innovation, experimentation, and continuous improvement in AI solution design

Stay current with emerging AI technologies and assess their applicability to Finance use cases

Hands-On Technical Support

Step in handson to debug AIgenerated logic and validate system behaviour

Optimize prompting strategies and model interactions

Improve quality, grounding, and accuracy of AIgenerated outputs

Validate endtoend solution performance

Work with large datasets to ensure data structures are optimized for AI solutions

Provide guidance on integrating AI capabilities with Business Intelligence (BI) environments and analytical workflows

Stakeholder Engagement & Communication

Communicate complex AI concepts clearly to nontechnical stakeholders

Influence alignment across Finance, Engineering, and Data Science teams

Foster a culture of AI literacy and responsible AI practices

Partner with Finance leaders to identify highimpact AI opportunities

What Youll Bring

Overall 78+ years of experience in AI/ML, analytics, software engineering, or related technical fields

Strong understanding of contemporary AI/LLM systems:

Prompting techniques and optimization strategies

Grounding strategies for factual accuracy

Enterprise AI solution design patterns

Experience working with large datasets and datainformed systems

Strong SQL skills for validation, analysis, and optimization

Exposure to Business Intelligence (BI) and analytical ecosystems

Excellent communication skills for diverse audiences

Strong stakeholder partnership and crossfunctional collaboration skills

Selfstarter mindset with curiosity, adaptability, and comfort navigating ambiguity

Preferred Qualifications

Experience applying AI solutions in Finance or large enterprise environments

Familiarity with enterprise AI governance and responsible AI practices

Ability to evaluate and improve endtoend quality of AI solutions

Experience debugging or enhancing AIgenerated or rapidlyprototyped applications (including vibecoded solutions)

Knowledge of Finance workflows, analytics, and reporting requirements

Experience with conversational AI, chatbots, or natural language interfaces

Contributions to opensource AI projects or broader technical communities