Job Description

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

Preferred Skills :
Technology->Machine Learning->Generative AI,Technology->Machine Learning->Responsible AI
Educational Requirements :
Bachelor of Engineering
Service Line :
Topaz COE unit

Skills Required