Senior Enterprise Automation Engineer

finastra

Bengaluru

On-site

INR 1,800,000 - 2,800,000

Full time

9 days ago

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Job summary

Finastra is seeking a Senior Enterprise Automation Engineer to transform Enterprise IT delivery through AI, automation, and self-service. You will partner with the AI-COE to operationalize Copilot, develop AI agents, and automate end-to-end IT workflows in a Bot First service model.

The role focuses on improving employee experience, efficiency, and reducing manual effort across IT services. You will drive adoption and measure automation impact while collaborating with service owners and SMEs.

Qualifications

  • 5–7+ years of experience in automation, platform engineering, digital workplace technologies, or enterprise applications.

Responsibilities

  • Partner with AI-COE to implement and operationalize enterprise AI initiatives.
  • Design, build, and maintain AI-powered agents using Microsoft Copilot and Copilot Studio.
  • Identify opportunities to improve employee experience through AI-driven solutions.
  • Drive adoption of AI and intelligent automation capabilities across Enterprise IT.
  • Create and maintain AI agents supporting services such as: Employee Onboarding, Employee Offboarding, Device Lifecycle Management, Software Requests, Access Requests, Knowledge Management, Employee Self-Service, Enterprise IT Support Services.
  • Develop and enhance Copilot agents and custom AI experiences.
  • Automate high-volume, repetitive operational processes.
  • Design workflows that reduce manual intervention and improve service delivery.
  • Help establish a Bot First operating model across Enterprise IT.
  • Design self-service experiences that prioritize AI-powered interactions and automation before escalation to support teams.
  • Improve request fulfillment speed, consistency, and user satisfaction.
  • Measure and continuously improve automation effectiveness and adoption.
  • Automate end-to-end processes across Enterprise IT platforms and services.
  • Integrate automation solutions with enterprise systems and workflows.
  • Eliminate manual tasks through orchestration and intelligent automation.
  • Support modernization of service delivery and operational processes.
  • Partner with SMEs and service owners to ensure knowledge articles are accurate, complete, and AI-ready.
  • Improve knowledge quality and usability for AI agents.
  • Identify process and documentation gaps that impact automation effectiveness.
  • Establish standards supporting successful AI adoption.
  • Work closely with AI-COE, Enterprise IT teams, Service Management, and business stakeholders.
  • Gather requirements, prioritize opportunities, and deliver automation solutions.
  • Promote best practices for AI, automation, and self-service adoption.
  • Act as a trusted advisor on automation and AI capabilities.

Skills

Automation
Platform engineering
Digital workplace
Enterprise applications
Analytical thinking
Communication skills

Tools

Microsoft Copilot
Copilot Studio
Power Platform
APIs & integration
ServiceNow

Job description

Who are we?

At Finastra, we're a global leader in financial services software, dedicated to expanding access to financial services and shaping what's next for the industry. Our technology powers mission-critical solutions across Lending, Payments and Universal Banking, supporting over 7,000 customers, including 80% of the world's top 50 banks, in more than 110 countries.

About the Role

We're looking for a Senior Enterprise Automation Engineer to help transform how Enterprise IT delivers services through automation, AI, and intelligent self-service. This role will serve as the primary implementation partner for Enterprise IT AI initiatives, working closely with the AI Center of Excellence (AI-COE), service owners, and subject matter experts to operationalize Microsoft Copilot, develop AI-powered agents, and automate end-to-end business and IT workflows.

The successful candidate will play a key role in driving a Bot First service model, where employees interact with intelligent agents and automated workflows before engaging traditional support channels. The focus is on improving employee experience, increasing operational efficiency, and reducing manual effort across Enterprise IT services

Key Responsibilities
AI & Copilot Enablement
  • Partner with AI-COE to implement and operationalize enterprise AI initiatives.
  • Design, build, and maintain AI-powered agents using Microsoft Copilot and Copilot Studio.
  • Identify opportunities to improve employee experience through AI-driven solutions.
  • Drive adoption of AI and intelligent automation capabilities across Enterprise IT.
Agent Development & Automation
  • Create and maintain AI agents supporting services such as:
    • Employee Onboarding
    • Employee Offboarding
    • Device Lifecycle Management
    • Software Requests
    • Access Requests
    • Knowledge Management
    • Employee Self-Service
    • Enterprise IT Support Services
  • Develop and enhance Copilot agents and custom AI experiences.
  • Automate high-volume, repetitive operational processes.
  • Design workflows that reduce manual intervention and improve service delivery.
Bot First Service Delivery
  • Help establish a Bot First operating model across Enterprise IT.
  • Design self-service experiences that prioritize AI-powered interactions and automation before escalation to support teams.
  • Improve request fulfillment speed, consistency, and user satisfaction.
  • Measure and continuously improve automation effectiveness and adoption.
Process & Workflow Automation
  • Automate end-to-end processes across Enterprise IT platforms and services.
  • Integrate automation solutions with enterprise systems and workflows.
  • Eliminate manual tasks through orchestration and intelligent automation.
  • Support modernization of service delivery and operational processes.
Knowledge & AI Readiness
  • Partner with SMEs and service owners to ensure knowledge articles are accurate, complete, and AI-ready.
  • Improve knowledge quality and usability for AI agents.
  • Identify process and documentation gaps that impact automation effectiveness.
  • Establish standards supporting successful AI adoption.
Collaboration & Stakeholder Engagement
  • Work closely with AI-COE, Enterprise IT teams, Service Management, and business stakeholders.
  • Gather requirements, prioritize opportunities, and deliver automation solutions.
  • Promote best practices for AI, automation, and self-service adoption.
  • Act as a trusted advisor on automation and AI capabilities.
Qualifications
Required
  • 5-7+ years of experience in automation, platform engineering, digital workplace technologies, or enterprise applications.
  • Experience designing and implementing automation solutions within enterprise environments.
  • Experience with Microsoft Copilot, Copilot Studio, Power Platform, or similar automation platforms.
  • Experience integrating enterprise applications and services using APIs and workflow automation.
  • Strong understanding of IT service delivery and service management processes.
  • Ability to work effectively with technical teams, business stakeholders, and subject matter experts.
  • Excellent analytical, problem-solving, and communication skills.
Preferred
  • Experience building AI agents, virtual assistants, or conversational AI solutions.
  • Experience with Microsoft 365 Copilot deployments and adoption.
  • Experience integrating ServiceNow and enterprise collaboration platforms.
  • Experience supporting Enterprise IT, Digital Workplace, or End User Computing environments.
  • Experience with AI governance, prompt engineering, or responsible AI practices.
What Success Looks Like

In your first year, you will:

  • Deliver production-ready AI agents supporting core Enterprise IT services.
  • Increase automation and self-service adoption across key workflows.
  • Improve knowledge readiness and AI effectiveness.
  • Reduce manual fulfillment effort through intelligent automation.
  • Establish yourself as a trusted technology partner for AI-COE and Enterprise IT teams.
  • Help shape the future of AI-driven service delivery within the organization.

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