Business Analyst

A category-leading, VC-backed AI startup on an exponential growth trajectory, E42 is a no-code enterprise Cognitive Process Automation (CPA) platform to spawn AI co-workers with human-like cognitive abilities that automate processes across enterprise functions and verticals. We have 50+ marquee enterprise customers across the globe, including Fortune 500 companies like Accenture, Tata Communications, Mahindra and Mahindra that have deployed these AI co-workers to automate processes across finance, HR, marketing, customer care, to name a few.

With a wide moat in the Cognitive Process Automation space, the platform helps enterprises become intelligent one AI co-worker at a time while propelling E42 as a global leader.

E42.ai is a NASSCOM Deep Tech member and has been featured in IDC and Gartner reports, as well as awarded by most of its partners like Microsoft, Oracle, SAP, NVIDIA, and the likes.

E42.ai's Neil – AI Co-worker for AP (Co-worker is a supervisor to a group of Specialized AI agents for a process) handles end to end Accounts Payable process without a human touch for large organizations across the world.

We are currently looking for driven Individuals to contribute into the Neil team

If you see yourself in a role that can help large enterprises solution and onboard Neil AI co-worker for AP on the E42 platform this opportunity is designed for you.

Website: https://e42.ai/

LinkedIn:https://www.linkedin.com/company/e42dotai/

Job Title: Business Analyst

Company: E42 (Light Information Systems Pvt. Ltd.)

Location: India (Supporting India, Middle East & US Markets)

Role Summary

We are seeking a detail-oriented and techno-functional Business Analyst to drive requirement discovery, solution definition, and implementation support for AI-driven automation platforms.

1) Role and Responsibilities

• Conduct detailed requirement discovery sessions with business and technical stakeholders.
• Translate client requirements into structured use cases and platform-based solutions.
• Create BRD, FRD, FRS, and comprehensive functional documentation.
• Define clear acceptance criteria and ensure requirement traceability throughout the delivery lifecycle.
• Craft User Stories, Use Cases, and workflow definitions.
• Prepare Data Flow Diagrams (DFD), Process Flow Diagrams, Functional Architecture, and End-to-End Solution Architecture documentation.
• Develop Solution Design Documents to clearly represent system interactions and dependencies.
• Draft API documentation and integration specifications.
• Work with APIs and API testing tools such as Postman.
• Collaborate closely with engineering teams to ensure accurate technical implementation.
• Translate business use cases into AI-driven automation workflows.
• Contribute to Generative AI and LLM-based solution design initiatives.
• Apply prompt engineering concepts to enhance AI-driven outcomes.
• Support development of Proof of Concepts (POCs) showcasing AI automation capabilities.
• Define test scenarios and participate in functional and technical testing.
• Support User Acceptance Testing (UAT) cycles and client validation.
• Ensure alignment between documented requirements and delivered solutions.
• Coordinate with sprint management tools (GitLab, Azure/VSTS, JIRA, etc.) for tracking and delivery alignment.
• Partner with presales, product, and delivery teams to define scope, objectives, and timelines.
• Communicate effectively with cross-functional teams and external stakeholders.

2) Skills and Experience Required

• 3–5 years of experience as a Business Analyst in SaaS, automation, or enterprise platforms.
• Strong experience in requirement documentation (BRD, FRD, FRS) and solution design artifacts.
• Hands-on experience with APIs and API testing tools (e.g., Postman).
• Knowledge of ERP integrations with platforms such as SAP, Oracle, Microsoft Dynamics, etc., is an added advantage.
• Understanding of AI automation platforms and Generative AI concepts.
• Exposure to prompt engineering and LLM-driven use case design is preferred.
• Experience working in structured delivery environments using sprint tracking tools.
• Strong analytical, documentation, and stakeholder communication skills.