Manager, Software Engineering – AI Enablement, Automation

Genesys

Manager of AI Enablement leading a team responsible for AI platform operations and automation initiatives at Genesys. Driving AI tool adoption and productivity across the organization while ensuring compliance and governance.

Posted 6/22/2026full-timeRemote • 🇮🇳 IndiaSeniorLeadWebsite

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Hard Skills

AI platformsRPAmachine-assisted automationAI governancedata privacycompliancecost optimizationvendor managementworkflow automationenterprise architecture

Soft Skills

stakeholder managementteam managementmentoringcollaborationtraining developmentcommunicationleadershiporganizational skillsglobal team supporthigh-performance team development

Tools & Technologies

ChatGPT EnterpriseAmazon QCursorMicrosoft CopilotAutomation AnywherePlaywrightPowerAutomateSaaS platformsAI capability frameworksCenters of Excellence

Industry Keywords

digital transformationautomationAI-related rolesenterprise AIcost efficiencyadoption metricsoperational support modelsonboardingaccess provisioningglobal matrixed environment

Tech Stack

Tools & technologies

RPA

About the role

Key responsibilities & impact

Lead operations for enterprise AI platforms (e.g., ChatGPT Enterprise, Cursor, Amazon Q)
Establish secure onboarding, access provisioning, governance controls, and operational support models
Monitor platform health, usage, cost efficiency, adoption metrics, and ROI
Manage vendor relationships and support escalations as needed
Identify high-impact AI use cases through collaboration with Engineering, Sales, Marketing, Support, HR, Finance, and other functions
Lead AI adoption initiatives across the organization
Develop and deliver training programs, workshops, office hours, and enablement materials
Oversee RPA and machine-assisted automation initiatives
Recruit, mentor, and develop a high-performing AI & Automations team

Requirements

What you’ll need

8+ years of experience in technology, automation, digital transformation, or AI-related roles
3+ years of experience managing teams, preferably in a global matrixed environment
Experience deploying AI tools at scale in a mid-to-large enterprise
Background in engineering, systems integration, or enterprise architecture
Experience building internal AI capability frameworks or Centers of Excellence (CoE)
Exposure to cost optimization and vendor management for SaaS platforms
Hands-on experience with enterprise AI platforms (e.g., ChatGPT Enterprise, Microsoft Copilot, Amazon Q, Cursor)
Strong understanding of AI governance, data privacy, and compliance considerations (including regional regulations)
Familiarity with workflow automation and RPA tools (e.g., Automation Anywhere, Playwright, PowerAutomate)
Excellent stakeholder management skills with experience working across geographies
Experience supporting global teams from India delivery centers

Benefits

Comp & perks

Health insurance
401(k) matching
Paid volunteer time
August Free Fridays
Well-being resources
Regionally tailored programs for employees and their families