AI Automation Engineer

WhatYou’llDo (Core Responsibilities)

• Build and deploy automationsusing tools such asn8n, UiPath RPA, Glean, andother agentic frameworks as adoptedto streamline operations and improve workflow efficiency.

• Develop, test, andmaintainAI agents and workflow automationsthat connect data, systems, and teams toeliminatemanual effort and improve accuracy.

• Collaborate with Operations Enablement, Delivery teams, and AI leadershipto translate high-level strategies and architectural designs into working, scalable solutions.

• Analyze and improve processesbefore automating —identifyingbottlenecks, redundancies, and optimization opportunities.

• Implement event-driven workflowsand API integrations to enable system-to-system communication and human-in-the-loop automation patterns.

• Support orchestration and testingof agentic interactions, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) patterns where applicable.

• Document, test, andmaintainautomationswith a focus on reliability, observability, and compliance with governance and security standards.

• Collaborate cross-functionallyto ensure automations align with enterprise data, workflow,AIand security policies.

• Measure automation outcomes(time saved, error reduction, throughput gains, client & revenue impact) and communicate results to stakeholders.

• Participate inshowcasesand demosto share automation successes, reusable patterns, and best practices across teams.

What Success Looks Like (6-12Month Outcomes)

• Delivery of multiplehigh-value automations and AI workflowsthat significantly reduce cycle times, improve accuracy, or remove manual work within Delivery and Operations.

• Creation of ashared library of automation patterns and connectorsthat can be reused across departments.

• Demonstratedcontributionsto theAI-First Roadmap milestones, including process optimization, automation enablement, and operational transformation.

• Widespread adoption of approved AICoEtoolchains (e.g., Glean, UiPath, n8n) across operational teams.

• Embedded process improvement discipline within automation delivery.

Qualifications

• 2–4 years of experience inautomation engineering, process improvement, or RPA development.

• Proficiencywithlow-code/no-code automation platforms(n8n, UiPath, Power Automate, Make, Zapier, etc.) and basic scripting (Python, JavaScript preferred).

• Working knowledge ofAPIs, event-driven architectures, and data integration.

• Experience supportingprocess mapping or Lean/Six Sigmainitiativesa plus.

• Exposure toAI-driven workflows,enterprise search, oragentic orchestration frameworkspreferred.

• Strong analytical mindset with the ability to design, test, and iterate on automation solutions.

• Excellent communication and documentation skills for global collaboration (Medellín, Pune, and other locations).

Skills & Mindsets

• Client-first mindset— passionate about creating, testing, and deployingsecure,scalable,andcost-efficientsolutionsfor internal and external clients.

• Operational thinker— understands how processes and systems interact within Delivery and Operations.

• Continuous improvement orientation— looks for ways to simplify,optimize, and evolve workflows before automating.

• Collaborative executor— works seamlessly across technical and business teams.

• Evidence-driven— measuresresultsand uses data to guide refinement.

Why This Role Matters Now

As Ansira advances itsAI-First Roadmap, the ability toexecute automation at scaleis essential to achieving measurable business transformation. The AI Automation Engineer bridges strategic vision with on-the-ground delivery — building automations that simplify complex workflows, enhance accuracy, and free up time for higher-value work.

This role ensures that every automation and process improvement contributes directly tooperational excellenceand thescalable success of Delivery and Operations.