Ai Automation Engineer

Position: AI Automation Engineer

Location: Northborough, MA***Onsite***

Duration: 1 Year

Job Summary

We are seeking an experienced AI Automation Engineer to design, develop, and implement AI-driven automation solutions across Digital Workplace Services. The role will focus on leveraging Generative AI, Microsoft Copilot, Copilot Studio, Azure OpenAI, Power Platform, automation technologies, and intelligent virtual agents to enhance employee experience, optimize IT operations, improve service desk efficiency, and enable autonomous workplace support capabilities. This aligns with Digital Workplace Services initiatives such as AI-powered service desks, intelligent collaboration, agentic AI, and workplace automation.

Key Responsibilities

AI & Automation Engineering

Design and implement AI-powered workplace automation solutions.

Develop intelligent virtual assistants, chatbots, and AI agents using Microsoft Copilot Studio and Azure OpenAI.

Build Agentic AI workflows for autonomous task execution and IT support automation.

Integrate AI solutions with ITSM platforms, collaboration tools, and enterprise applications.

Develop workflow automations using Power Platform, APIs, and orchestration frameworks.

Digital Workplace Transformation

Drive adoption of AI-powered Digital Workplace solutions.

Implement intelligent employee self-service solutions.

Enhance productivity through Copilot-enabled workflows.

Improve workplace experience with AI-driven support and knowledge management.

Service Desk Automation

Develop AI solutions for:

o Ticket summarization

o Automated ticket classification

o Knowledge article generation

o Self-healing automation

o Intelligent incident routing

o Virtual support assistants

Reduce manual effort through automation and predictive support capabilities.

Integration & Development

Integrate AI platforms with:

o ServiceNow

o Microsoft 365

o Teams

o SharePoint

o Power Platform

o Azure Services

o Enterprise applications

Develop APIs and connectors for seamless data exchange.

Governance & AI Operations

Establish Responsible AI practices.

Ensure compliance with security, privacy, and governance requirements.

Monitor AI solution performance and optimize models.

Support AI lifecycle management and operational excellence.

Required Technical Skills

AI & GenAI

Azure OpenAI Services

GPT / LLM Models

RAG (Retrieval Augmented Generation)

Prompt Engineering

AI Agents & Agentic AI

Semantic Kernel

LangGraph / LangChain

Microsoft Technologies

Microsoft Copilot

Copilot Studio

Power Automate

Power Apps

Microsoft Teams

SharePoint Online

Microsoft Graph API

Azure AI Services

Automation & Development

Python

PowerShell

REST APIs

JSON

Workflow Automation

GitHub Copilot

Cloud & Infrastructure

Microsoft Azure

Azure Functions

Logic Apps

Azure AI Foundry

Azure DevOps

ITSM & Workplace Technologies

ServiceNow

Endpoint Management

Microsoft Intune

Autopilot

Knowledge Management Platforms

Preferred Qualifications

Microsoft Certified: Azure AI Engineer Associate

Microsoft Certified: Power Platform Developer Associate

Microsoft Copilot Certification

ServiceNow Certified System Administrator

Azure Solutions Architect Certification

Soft Skills

Strong analytical and problem-solving skills.

Excellent stakeholder management.

Ability to communicate technical concepts to business users.

Innovation mindset and continuous learning attitude.

Experience leading AI transformation initiatives.

Nice-to-Have Experience

Digital Workplace Services Operations

Employee Experience Platforms

AI-Powered Service Desk

Workplace Analytics

Experience Management (XLAs)

Intelligent Collaboration Solutions

Enterprise AI Transformation Programs