Agentic AI - Automation Lead

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.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. Qualifications Academic background - Bachelors or Masters degree in Computer Science, AI, or related field.Experience with LangChain, AutoGPT, or similar agent frameworks. Required Skills Foundational->Governance_COBIT->ProcessTechnology->AI-Data science->Machine LearningTechnology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag) .