Senior Automation Anywhere Engineer & AI Platform Lead

EPAM Systems; Mexico; On-site; PHP 5,643,000 - 8,150,000; Full time

Benefits offered by this job

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and certification courses

Job summary

EPAM Systems is seeking an Automation Anywhere Engineer to modernize end-user platforms and establish a robust Governance Framework for Automation and AI. You will coordinate internal teams and vendors to deliver scalable, secure AIOps solutions aligned with enterprise architecture.

Responsibilities include leading development frameworks, acting as technical lead, and implementing AI strategies with GenAI tools and Azure services to enhance incident resolution and efficiency.

Qualifications

• 5+ years of relevant professional experience in automation engineering or related roles.
• Proven experience in vendor management and working with Outsourcing/Managed Services providers.
• Strong leadership abilities with experience managing internal teams and cross-functional stakeholders.
• Excellent English communication skills (B2+ level) and ability to explain technical concepts clearly.
• Experience with governance, security standards, and enterprise architecture in large environments.

Responsibilities

• Define and enforce development frameworks and governance standards for Automation Anywhere and AI solutions.
• Act as technical lead for internal teams, overseeing deliverables and architectures.
• Develop AI strategies using GenAI tools to optimize incident resolution and operations.
• Select optimal automation paths across RPA, scripting, and AI for various needs.
• Execute PoCs and guide projects to ensure viability and success.

Skills

Leadership

Vendor management

Communication

Governance

AI/GenAI experience

Tools

Automation Anywhere

Azure

Copilot/GenAI tools

Job description

EPAM Systems is seeking an Automation Anywhere Engineer to modernize end-user platforms and establish a robust Governance Framework for Automation and AI. You will coordinate internal teams and vendors to deliver scalable, secure AIOps solutions aligned with enterprise architecture.

Responsibilities include leading development frameworks, acting as technical lead, and implementing AI strategies with GenAI tools and Azure services to enhance incident resolution and efficiency.