(IND) Senior Solution Consultant

Join Walmart’s Finance Agent Design team as a Finance AI Agent Builder, where you will design, build, and deploy AI-powered agents that simplify and automate Finance processes. This role is execution-focused and hands-on, centered on building working agentic solutions using tools such as Copilot, Code Puppy, and other agentic AI frameworks.

The Finance Agent Design team focuses on executing and scaling AI-driven solutions across Finance. The team partners closely with Finance stakeholders and engineering teams to convert standardized Finance processes into production-ready AI agents.

Build Finance-focused AI agents using Copilot, Code Puppy, and agentic AI platforms

Translate documented Finance processes into executable agent workflows

Implement agent logic to interpret inputs, apply Finance rules, and execute tasks

Team: Finance AI Excellence Lab Location: Bengaluru, India / Chennai, India Experience Level: 13–15 Years Requisition Type: Full-Time

Join Walmart’s Finance AI Excellence Lab as a Finance AI Agent Builder, where you will design, build, and deploy AI-powered agents that simplify and automate Finance processes. This role is execution-focused and hands-on, centered on building working agentic solutions using tools such as Copilot, Code Puppy, and other agentic AI frameworks. You will not be responsible for discovery, prioritization, or ideation. Your impact comes from understanding defined Finance processes and executing high-quality AI agent builds that operate reliably in production environments.

The Finance AI Excellence Lab focuses on executing and scaling AI-driven solutions across Finance. The team partners closely with Finance stakeholders and engineering teams to convert standardized Finance processes into production-ready AI agents. Our work emphasizes execution, simplification, automation, and scale—ensuring AI agents deliver measurable operational impact.

Configure agent orchestration, tool usage, and decision logic

Understand assigned Finance processes and execution steps in depth

Convert Finance rules, calculations, and controls into agent logic

Ensure agents align with Finance policies, approvals, and audit expectations

Actively build, test, and refine agents during execution cycles

Debug agent behavior and output accuracy

Optimize prompts, workflows, and execution reliability

Support UAT and production readiness

Apply agentic AI concepts such as task decomposition and orchestration

Combine LLM reasoning with deterministic Finance logic

Implement grounding, guardrails, and structured prompting

Partner with Finance stakeholders to validate execution accuracy

Collaborate with engineering teams for deployment and integration

Support rollout, adoption, and scaling of deployed agents

13–15 years of experience in Finance operations, transformation, or systems execution roles

Strong hands-on knowledge of core Finance processes (R2R, P2P, O2C, FP&A, Controls)

Demonstrated ability to build and execute solutions, not just design them

Comfort working with AI tools, low-code/pro-code platforms, and automation frameworks

Strong logical thinking and attention to detail

Clear communication skills with Finance and technical teams

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.