Agentic AI Automation Lead

Responsible AI (RAI) Agentic AI Automation will help to lead the design, development, and deployment of autonomous AI agents that drive intelligent automation across enterprise systems. This role blends deep expertise in automation frameworks with cutting-edge advancements in agentic AI, enabling scalable, adaptive, and goal-driven automation solutions.

• Architect and implement agentic AI systems capable of autonomous decision-making and task execution.

• Integrate AI agents with enterprise automation platforms (e.g., Ui Path, 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.

• 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 Lang Chain, AutoGPT, or similar agent frameworks

Education: Bachelor of Engineering

Preferred skills: Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag),Technology->AI-Data science->Machine Learning,Foundational->Governance_COBIT->Process