Senior Software Engineer (Automation & AI Agentic Engineer)

Principal Financial Group; Hyderabad; Hybrid; INR 1,500,000 - 2,300,000; Full time

Job summary

Principal Financial Group in Hyderabad seeks an Automation & AI Agentic Engineer to design, build, and support a hybrid automation portfolio spanning traditional RPA and next-generation agentic AI solutions.

The role emphasizes hands-on work across UiPath, Power Automate, Agent Core, and Copilot Studio to evaluate the best-fit platform and create scalable automation with governance and secure data handling.

Qualifications

• 4–7 years of automation experience including RPA and AI agentic work.
• Hands-on experience with UiPath, Power Automate, and agentic automation.
• Experience integrating automation with REST APIs, databases and messaging systems.

Responsibilities

• Design, develop, test, and deploy automation solutions using UiPath and Power Automate.
• Build and orchestrate AI agents using Agent Core, UiPath Agentic Automation, and Copilot Studio.
• Collaborate with leads on scalability, CI/CD, and CoE standards.
• Maintain documentation on agent decision logic, guardrails, and rollback procedures.

Skills

UiPath RPA

Power Automate

Agent Core

GitHub Copilot

GenAI basics

REST APIs

Python

Troubleshooting

Communication

Education

CS/CE degree

Tools

UiPath

Power Automate

Job description

What You'll Do

We are seeking an Automation & AI Agentic Engineer to design, build, and support a hybrid automation portfolio that spans traditional RPA and next-generation agentic AI solutions. The ideal candidate is hands-on across Microsoft Copilot / Copilot Studio, Agent Core, Power Automate, and UiPath (including UiPath Agentic Automation/Agentic Orchestration) evaluate which platform and approach - rule-based bot, low-code flow, or autonomous AI agent - best fits a given business process.

You’ll Have Opportunity To

• Design, develop, test, and deploy automation solutions using UiPath and Microsoft Power Automate, following CoE development standards and reusable component libraries.
• Build and orchestrate AI agents using Agent Core, UiPath Agentic Automation (agentic orchestration, agent-to-agent/human-in-the-loop workflows), and Microsoft Copilot Studio for goal-driven, autonomous or semi-autonomous process automation.
• Use GitHub Copilot (chat, inline completion, agent mode) to accelerate development, code review, and testing across automation and supporting application code.
• Assess incoming automation requests and recommend the right-fit solution (deterministic RPA bot vs. low-code Power Platform flow vs. AI agent vs. hybrid) based on process complexity, data variability, and exception handling needs.
• Integrate automations with enterprise systems via APIs, databases, message queues, and connectors; manage credentials/secrets securely (vault integration, least-privilege access).
• Implement AI components where required: document/IDP processing, LLM-based reasoning steps, prompt design, and retrieval-augmented generation (RAG) patterns for knowledge-grounded agents.
• Apply governance, security, and responsible-AI practices: exception handling, logging/observability, human-in-the-loop checkpoints, data privacy, and bias/hallucination mitigation for agentic components.
• Participate in solution design reviews (PDD/SDD), UAT, hypercare, and production support/incident triage for deployed bots and agents.
• Maintain documentation for developed solutions, including agent decision logic, guardrails, and rollback/fallback procedures.
• Collaborate with Solution Leads/Architects on scalability, CI/CD pipeline integration, and CoE standards adoption; mentor junior developers on both RPA and agentic development practices.
• Stay current on platform releases (UiPath, Agent Core, Microsoft Power Platform/Copilot, GitHub Copilot) and recommend adoption of new capabilities.

Who You Are

Experience: 4 to 7 total automation experience (RPA + AI agentic), or equivalent demonstrated skill for internal candidates transitioning from a traditional RPA Developer/Sr. Developer role.

Education

Bachelor’s(Engineering)/Master’s in computer science or a related field.

Must Have

• 3+ years of hands-on RPA development experience with UiPath (workflow design, exception handling, reusable components, and orchestrator administration).
• Working experience with Microsoft Power Automate (cloud/desktop flows) and familiarity with the broader Power Platform (Power Apps, Dataverse, connectors).
• Hands-on exposure to Agent Core, UiPath Agentic Automation, or comparable agentic/AI-agent orchestration capability (goal-driven agents, agent-to-agent workflows, autonomous decisioning).
• Practical experience using GitHub Copilot (or similar AI coding assistant) in day-to-day development.
• Understanding of GenAI/LLM fundamentals: prompt engineering, tokens/context windows, RAG concepts, and where AI agents outperform (or underperform) deterministic bots.
• Proficiency with REST APIs, JSON/XML, SQL, and at least one scripting/programming language (Python, VB.NET, or C#).
• Strong analytical and troubleshooting skills for both rule-based and non-deterministic (AI agent) failure modes.
• Excellent communication skills to translate business requirements into automation/agent solutions.

Preferred Qualifications

• UiPath Agentic Automation certification (Associate/Professional) or relevant Agent Core certification.
• Microsoft Certified: Power Platform Developer Associate (PL-400) or Power Platform Functional Consultant Associate (PL-200).
• GitHub Copilot certification or GitHub Agentic AI Developer certification.
• Exposure to cloud AI platforms (Azure AI Foundry, AWS Bedrock, Google Vertex AI).

Core Competencies

Skills

• RPA Platform
• UiPath
• Low-Code / AI Agent Platforms
• Microsoft Power Automate, Copilot Studio, Agent Core, UiPath Agentic Automation
• AI-Assisted Development
• GitHub Copilot (chat, inline completion, agent mode), Claude Code
• AI/GenAI Foundations
• Prompt engineering, LLM basics, RAG, agent orchestration
• Integration
• REST APIs, SQL, queues, connectors
• Governance
• Exception handling, logging/observability, responsible AI, security best practices

Behavioral Attributes

• Curiosity and continuous-learning mindset toward evolving automation/AI tooling.
• Comfort working with both deterministic (RPA) and probabilistic (AI agent) systems.
• Ownership and accountability for solution quality, security, and production stability.
• Strong cross-functional collaboration with business, security, and architecture teams.

Additional Information

Our Engineering Culture:
In our Agile/Lean DevOps environment, we've nurtured a culture of innovation and experimentation across our development teams. As a customer-focused organization, we collaborate closely with our end users and product owners to understand and rapidly respond to emerging business needs. Collaboration is ingrained into every aspect of our work – from the products we develop to the world‑class service we offer. We are motivated by the belief that diversity of thought, background, and perspective is crucial to crafting the finest products and experiences for our customers. Come join us and become a part of a highly ambitious team dedicated to delivering impeccable solutions!