AGENTIC AI • AUTOMATION • GENERATIVE AI • RPA

Agentic AI – Automation Lead

AI Agents, Intelligent Automation & Enterprise AI

Lead the design and implementation of intelligent, agentic AI solutions that combine LLMs, RPA, orchestration and enterprise automation platforms to automate complex business processes.

Role: Automation Lead

Domain: Agentic AI

Focus: AI + RPA

Education: Bachelor's / Master's

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IDEAL CANDIDATE

Who Is This Role For?

This role is suited for an AI automation professional who understands how to combine intelligent agents, LLMs, RPA and enterprise orchestration to solve complex business problems.

Agentic AI Engineer

Understands goal-oriented agents, planning, memory, tool use and autonomous task execution.

Intelligent Automation Specialist

Has practical exposure to RPA and enterprise automation platforms such as UiPath, Automation Anywhere or Power Automate.

LLM Solution Builder

Can work with LLM APIs, prompt engineering, orchestration, retrieval and AI-powered workflows.

Technical AI Lead

Can translate business problems into smaller technical problems, create hypotheses and guide teams toward scalable solutions.

ROLE OVERVIEW

Build Autonomous Enterprise Automation

The role combines Agentic AI, Generative AI and intelligent automation to create systems capable of reasoning, using tools, interacting with enterprise platforms and executing multi-step business processes.

Identify Find automation opportunities

Design Architect agent workflows

Integrate Connect enterprise tools

Automate Execute business tasks

Govern Secure production AI

KEY RESPONSIBILITIES

What You Will Do

Architect Agentic AI Systems

Design and implement AI agents capable of autonomous decision-making, planning and task execution.

Integrate Enterprise Automation Platforms

Connect AI agents with platforms such as UiPath, Automation Anywhere and Microsoft Power Automate.

Design Multi-Agent Workflows

Build complex workflows using LLMs, RPA and orchestration technologies to automate business processes.

Identify Automation Opportunities

Collaborate with business and technology teams to identify repetitive and complex processes suitable for agentic automation.

Deploy Responsible AI

Ensure AI agents are deployed securely, ethically and in compliance with organizational requirements.

Mentor Automation Engineers

Guide junior engineers and contribute to technical best practices and thought leadership in Agentic AI.

Drive Innovation

Experiment with emerging AI capabilities and evaluate how agentic technologies can improve business processes.

AGENTIC AI

Core Agent Capabilities

Goal-Oriented Agents

Design agents that understand objectives, plan actions and execute multi-step tasks toward defined business outcomes.

Memory & Context

Use memory and contextual information to enable agents to maintain relevant state throughout complex workflows.

Tool Use

Enable agents to interact with APIs, enterprise systems, automation platforms and other external tools.

INTELLIGENT AUTOMATION

Combine AI With Enterprise Automation

RPA Integration

Integrate AI-driven decision-making with robotic process automation platforms for end-to-end workflows.

Workflow Orchestration

Design and coordinate multi-step workflows involving AI agents, APIs, RPA bots and enterprise applications.

Business Process Automation

Translate complex business processes into scalable and intelligent automation solutions.

GENERATIVE AI & LLM

Technologies Behind the Agents

LLM APIs OpenAI Azure OpenAI Anthropic Prompt Engineering LangChain AutoGPT RAG Vector Databases Agent Orchestration

TECHNICAL SKILLS

What You Should Know

AI & Machine Learning Strong understanding of AI/ML concepts and practical integration of intelligent systems.

Generative AI Understanding of LLMs, prompt engineering, RAG and generative AI application patterns.

Agent Frameworks Experience with LangChain, AutoGPT or similar agent development frameworks.

Programming Proficiency in Python, JavaScript or other scripting languages used for automation.

Automation & RPA Experience in intelligent automation, RPA and AI/ML integration.

Enterprise Integration Ability to integrate AI agents with enterprise applications, APIs, automation tools and orchestration systems.

QUALIFICATIONS

Educational Background

Bachelor's Degree Bachelor's degree in Computer Science, Artificial Intelligence or a related field.

Master's Degree Master's degree in Computer Science, AI or a related discipline is also suitable.

Problem Solving Ability to break complex problems into smaller components and formulate practical hypotheses.

Communication Strong verbal and written communication skills with the ability to articulate AI value to business stakeholders.

RESPONSIBLE AI

Secure, Ethical & Compliant AI

Agentic systems can take actions rather than simply generate responses. This makes governance, security and operational controls critical when deploying autonomous AI agents into production.

AI Governance Security Compliance Responsible AI Access Controls Agent Guardrails Enterprise AI

BUSINESS IMPACT

Where Agentic Automation Creates Value

Reduce Manual Work

Automate repetitive and multi-step tasks that traditionally require significant human intervention.

Improve Decision Speed

Enable AI agents to analyze information, select actions and execute workflows faster.

Scale Operations

Combine AI reasoning with automation infrastructure to create scalable enterprise workflows.

CORE TECHNOLOGY STACK

Skills & Concepts

Agentic AI AI Automation Generative AI Machine Learning LLMs RPA UiPath Automation Anywhere Power Automate Python JavaScript LangChain AutoGPT RAG Vector Databases Prompt Engineering AI Governance

Lead the Future of Intelligent Automation

Bring together Agentic AI, Generative AI, LLMs and enterprise automation to build intelligent systems capable of solving complex business problems at scale.

Apply Now ↗