Manager, AI; Finance

Position: Manager, AI (Finance)
Location: Bengaluru

Position Summary

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

This hybrid role combines strategic technical oversight with hands‑on problem‑solving. You'll guide teams in building intelligent AI solutions while ensuring they meet Walmart’s standards for quality, scalability, and responsible AI. Your expertise in modern AI patterns-including Model Context Protocol (MCP) and Retrieval‑Augmented Generation (RAG)-will help shape the future of AI‑driven financial workflows at one of the world’s largest retailers.

About Team

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

• Enhance productivity across the enterprise

• Improve decision‑making with intelligent insights

• Simplify complex workflows through automation

• Democratize AI capabilities for all associates

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

What You’ll 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 AI‑enabled 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

– Retrieval‑Augmented Generation (RAG) for enhanced grounding and context

• Support development of natural language‑driven capabilities, conversational interfaces, and AI‑powered 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 hands‑on to debug AI‑generated logic and validate system behaviour

• Optimize prompting strategies and model interactions

• Improve quality, grounding, and accuracy of AI‑generated outputs

• Validate end‑to‑end 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 non‑technical 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 high‑impact AI opportunities

What You’ll Bring

• Overall 7–8+ 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 data‑informed 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 cross‑functional collaboration skills

• Self‑starter 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 end‑to‑end quality of AI solutions

• Experience debugging or enhancing AI‑generated or rapidly‑prototyped applications (including “vibe‑coded” solutions)

• Knowledge of Finance workflows, analytics, and reporting requirements

• Experience with conversational AI, chatbots, or natural language interfaces

• Contributions to open‑source AI projects or broader technical communities