Agentic AI Automation Lead

Infosys; Bengaluru; On-site; INR 1,400,000 - 2,600,000; Full time

Job summary

Infosys seeks an architect to design and implement agentic AI systems capable of autonomous decision-making and task execution in Bengaluru. You will integrate AI agents with enterprise automation platforms and design multi-agent workflows for complex processes using LLMs, RPA, and orchestration tools.

You will collaborate with cross-functional teams to identify automation opportunities, translate them into agentic solutions, and ensure secure, compliant deployment in production environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or related field.
• Proven experience in intelligent automation, RPA, and AI/ML integration.
• Hands-on experience with LangChain, AutoGPT, or similar agent frameworks.
• Strong communication and stakeholder management skills.

Responsibilities

• Architect and implement agentic AI systems capable of autonomous decision-making and task execution.
• Integrate AI agents with enterprise automation platforms (e.g., 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.

Skills

Architectural design

Stakeholder mgmt

Problem solving

Communication

Education

Bachelor's/Master's in CS/AI

Tools

LangChain

AutoGPT

LLM APIs

RPA tools

Job description

• Architect and implement agentic AI systems capable of autonomous decision-making and task execution.
• Integrate AI agents with enterprise automation platforms (e.g., 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.).
• Familiarity with orchestration tools, vector databases, and prompt engineering.
• Excellent problem-solving, communication, and stakeholder management skills.
• 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 - Bachelor’s or Master’s degree in Computer Science, AI, or related field.
• Experience with LangChain, AutoGPT, or similar agent frameworks