Workflow Automation & Agentic AI Business Analyst

Protiviti India; India; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Protiviti India seeks a versatile Workflow Automation & Agentic AI Consultant to drive intelligent automation and digital process transformation. The role blends business analysis with low-code/no-code orchestration, scripting, and practical Agentic AI architectures for banking operations.

Responsibilities include leading end-to-end automation, documenting complex workflows, designing automated processes using platforms like n8n, Camunda, Power Automate, UiPath, and deploying Agentic AI with

Qualifications

• BA or Automation Consultant with experience capturing rules and mapping workflows.
• Experience building robust workflows with low-code/no-code platforms.
• Proficient scripting and API integration using Python or JavaScript.
• Experience delivering end-to-end automation projects in financial services.

Responsibilities

• Lead end-to-end automation delivery across all transformation stages.
• Document business rules and translate needs into scalable automation.
• Design automated processes with low-code/no-code platforms and integrations.
• Implement Agentic AI solutions with LLM frameworks and human-in-the-loop workflows.
• Ensure auditability, risk management, and governance in automation.

Skills

Business Analysis

Low-Code

No-Code

Python/JavaScript

Agentic AI

Delivery Ownership

Analytical Problem Solving

Tools

n8n

Camunda

Power Automate

UiPath

REST APIs

SQL

Jira

Confluence

Job description

1. Role Overview

We are seeking a versatile, hands-on Workflow Automation & Agentic AI Consultant to drive intelligent automation and digital process transformation. The successful candidate will blend strong business analysis capabilities with low-code/no-code orchestration, custom scripting, and practical Agentic AI architectures. Operating across the end-to-end transformation lifecycle, this role is responsible for identifying operational bottlenecks, architecting robust automated workflows, and implementing human-in-the-loop AI systems. The ideal professional brings deep analytical rigor, a balanced approach between deterministic automation and generative decision-making, and a strong understanding of banking operational controls.

2. Key Responsibilities

• Lead end-to-end automation delivery across all transformation lifecycle stages: requirement analysis, solution architecture, low-code build, integration, testing, deployment, and operational support.
• Analyze complex business workflows, document business rules and exception pathways, and translate business operational needs into scalable automation solutions.
• Design and implement automated processes using low-code/no-code platforms (e.g., n8n, Camunda, Power Automate, UiPath) coupled with custom integration logic.
• Architect and deploy Agentic AI solutions utilizing LLM frameworks, function/tool calling, structured data outputs, and human-in-the-loop approval workflows.
• Develop robust scripting and API connectors using Python or JavaScript, SQL queries, and JSON payloads to bridge disparate enterprise systems.
• Embed auditability, risk management, and maker-checker approval mechanisms into automated operational processes to ensure compliance and governance.

3. Mandatory Skills

• Business Analysis & Process Design: Proven background as a BA or Automation Consultant with strong capability in capturing business rules, mapping complex workflows, and designing practical automation solutions.
• Low-Code / No-Code Orchestration: Hands-on development experience building robust workflows with platforms such as n8n, Camunda, Power Automate, or UiPath.
• Technical Scripting & Integration: Proficient in Python or JavaScript scripting, RESTful API integrations, JSON manipulation, SQL/relational databases, and enterprise collaboration tools (Jira, Confluence).
• Agentic AI & Intelligent Automation: Practical implementation understanding of Agentic AI/LLM frameworks, autonomous agents, tool/function calling, structured outputs, and knowing when to deploy deterministic automation versus AI decisioning.
• End-to-End Delivery Ownership: Demonstrated capability managing complete delivery lifecycles from requirements discovery through UAT, production release, and debugging/support.
• Analytical Problem Solving: Exceptional debugging, problem-solving, and communication skills to drive cross-functional alignment.

4. Experience Required

• Minimum 7 years of professional experience in business analysis, process automation, or technical consulting within financial services or enterprise technology.
• Demonstrated track record of delivering end-to-end automation solutions combining low-code platforms, API integrations, and intelligent AI frameworks.