Agentic AI - Automation Lead

Infosys; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Infosys is seeking an Architect to design and implement agentic AI systems capable of autonomous decision-making and task execution, with integration to enterprise automation platforms.

You will collaborate with cross-functional teams, ensure secure deployment, mentor junior engineers, and stay ahead in AI/ML integration. Candidates should have an academic background in CS/AI and hands-on experience with LangChain and LLM APIs.

Qualifications

• Academic background in Computer Science, AI, or related field.
• Experience with LangChain, AutoGPT, or similar agent frameworks.
• Hands-on with LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.).

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.

Skills

Agentic AI

LLM APIs

RPA

Orchestration Tools

Memory & Planning

Tool Use

Stakeholder Management

Problem Solving

Communication

Education

Bachelor's or Master's in CS/AI

Tools

LangChain

AutoGPT

Agent Frameworks

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.

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.

Qualifications

• Academic background - Bachelor’s or Master’s degree in Computer Science, AI, or related field.
• Experience with LangChain, AutoGPT, or similar agent frameworks.

Required Skills

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