Agentic AI Automation Lead

Infosys; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Infosys seeks an experienced automation engineer to architect agentic AI systems and drive autonomous task execution within enterprise environments.

You will integrate AI agents with UiPath, Automation Anywhere, and Power Automate, and design multi-agent workflows leveraging LLMs, RPA, and orchestration tools. Collaboration across teams is essential to identify opportunities and deliver compliant AI solutions.

Qualifications

• Bachelor's degree in Computer Science, AI, or related field.
• Experience with intelligent automation and RPA.
• Hands-on experience with LLMs, AI/ML integration.

Responsibilities

• Architect and implement agentic AI systems capable of autonomous decision-making and task execution.
• Integrate AI agents with enterprise automation platforms (UiPath, Automation Anywhere, Power Automate).
• Design multi-agent workflows for complex business processes using LLMs, RPA, and orchestration tools.
• Collaborate with cross-functional teams to identify automation opportunities and translate them into agentic solutions.
• Ensure ethical, secure, and compliant deployment of AI agents in production environments.
• Mentor junior automation engineers and contribute to thought leadership in agentic AI.
• Proven experience in intelligent automation, RPA, and AI/ML integration.
• Strong understanding of agentic AI concepts (e.g., goal-oriented agents, memory, planning, tool use).
• Hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.).
• Proficiency in Python, JavaScript, or other scripting languages used in automation.
• Familiarity with orchestration tools, vector databases, and prompt engineering.
• Excellent problem-solving, communication, and stakeholder management skills.

Skills

Python

JavaScript

LLM APIs

LangChain

Automation

RPA

AI/ML integration

Prompt engineering

Education

Bachelor of Engineering

Tools

UiPath

Automation Anywhere

Power Automate

vector databases

Job description

Educational Requirements

Bachelor of Engineering

Service Line

Topaz COE unit

Responsibilities

• Architect and implement agentic AI systems capable of autonomous decision-making and task execution.
• Integrate AI agents with enterprise automation platforms (UiPath, Automation Anywhere, Power Automate).
• Design multi-agent workflows for complex business processes using LLMs, RPA, and orchestration tools.
• Collaborate with cross-functional teams to identify automation opportunities and translate them into agentic solutions.
• Ensure ethical, secure, and compliant deployment of AI agents in production environments.
• Mentor junior automation engineers and contribute to thought leadership in agentic AI.
• Proven experience in intelligent automation, RPA, and AI/ML integration.
• Strong understanding of agentic AI concepts (e.g., goal-oriented agents, memory, planning, tool use).
• Hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.).
• Proficiency in Python, JavaScript, or other scripting languages used in automation.
• Familiarity with orchestration tools, vector databases, and prompt engineering.
• Excellent problem-solving, communication, and stakeholder management skills.

Additional Responsibilities:

• Good verbal written communication skills articulate value of AI to business, project managers other team members
• Ability to break complex problem into smaller problems and create hypothesis.
• Innovation and experimentation
• Academic background - Bachelors or Masters degree in Computer Science, AI, or related field.
• Experience with LangChain, AutoGPT, or similar agent frameworks

Preferred Skills:

• Foundational->Governance_COBIT->Process
• Technology->AI-Data science->Machine Learning
• Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)