AI Automation Engineer developing and deploying automations and AI agents at Ansira. Focusing on efficiency improvements and collaboration across teams in the Delivery & Operations organization.
Responsibilities
Build and deploy automations using tools such as n8n, UiPath RPA, Glean, and other agentic frameworks as adopted to streamline operations and improve workflow efficiency.
Develop, test, and maintain AI agents and workflow automations that connect data, systems, and teams to eliminate manual effort and improve accuracy.
Collaborate with Operations Enablement, Delivery teams, and AI leadership to translate high-level strategies and architectural designs into working, scalable solutions.
Analyze and improve processes before automating — identifying bottlenecks, redundancies, and optimization opportunities.
Implement event-driven workflows and API integrations to enable system-to-system communication and human-in-the-loop automation patterns.
Support orchestration and testing of agentic interactions, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) patterns where applicable.
Document, test, and maintain automations with a focus on reliability, observability, and compliance with governance and security standards.
Collaborate cross-functionally to ensure automations align with enterprise data, workflow, AI and security policies.
Measure automation outcomes (time saved, error reduction, throughput gains, client & revenue impact) and communicate results to stakeholders.
Participate in showcases and demos to share automation successes, reusable patterns, and best practices across teams.
Requirements
2–4 years of experience in automation engineering, process improvement, or RPA development.
Proficiency with low-code/no-code automation platforms (n8n, UiPath, Power Automate, Make, Zapier, etc.) and basic scripting (Python, JavaScript preferred).
Working knowledge of APIs, event-driven architectures, and data integration.
Experience supporting process mapping or Lean/Six Sigma initiatives a plus.
Exposure to AI-driven workflows, enterprise search, or agentic orchestration frameworks preferred.
Strong analytical mindset with the ability to design, test, and iterate on automation solutions.
Excellent communication and documentation skills for global collaboration.
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