(IND) Senior Solution Consultant

Walmart Global Tech India; Bengaluru; On-site; INR 4,200,000 - 6,200,000; Full time

Job summary

A leading global technology firm in India is seeking a Finance AI Agent Builder to design, build, and deploy AI-powered agents. The role demands 13–15 years of experience in Finance operations and strong hands-on knowledge of Finance processes. Responsibilities include creating efficient workflows and ensuring compliance with Finance policies. Candidates should have experience with automation frameworks and be comfortable working with AI tools. This role offers an opportunity to actively engage in finance transformation projects.

Qualifications

• 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).
• 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.

Responsibilities

• Build Finance-focused AI agents using Copilot and Code Puppy.
• Translate documented Finance processes into executable agent workflows.
• Debug agent behavior and optimize workflows.
• 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.

Skills

Experience in Finance operations

AI tools and automation frameworks

Logical thinking

Attention to detail

Communication skills

Controls awareness

AI tools experience

Low-code automation

Automation frameworks

Communication skills

Education

Bachelor's degree in a relevant field

3 years’ experience in software engineering, consulting, DevOps, or related area

Tools

Copilot

Code Puppy

Agentic AI frameworks

Job description

Team

Finance Agent Design team

Location

Bengaluru, India / Chennai, India

Experience Level

13–15 Years

Requisition Type

Full-Time

Position Summary

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.

About the Team

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.

What You’ll Do

• 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.
• 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.

What You’ll Bring

• 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.

Preferred Qualifications

• Hands‑on experience building AI agents using Copilot, Code Puppy, or similar tools.
• Exposure to agentic AI workflows, prompt engineering, and orchestration.
• Experience deploying AI or automation in large enterprise Finance environments.
• Understanding of Finance controls, audit, and compliance requirements.

Minimum Qualifications

• Bachelor's degree in computer science, management, information systems, mathematics, business, or related area and 3 years’ experience in software engineering, consulting, DevOps, or related area.
• 5 years’ experience in software engineering, consulting, DevOps, or related area.