The Job

Associate , AI & Data Engineering

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In short

Carrier is seeking an Associate, AI & Data Engineering to build enterprise data and AI capabilities, focusing on secure, scalable, and high-quality data-driven decisions. This role involves applying AI/ML and automation to enhance efficiency and business value, with responsibilities spanning platform engineering, custom integrations, and governance.

Responsibilities

  • Design, deploy, and maintain solution architecture for AI platforms like Microsoft Copilot, Copilot Studio, Google Gemini Enterprise, and Vertex AI.
  • Build enterprise connectors, plugins, and OpenAPI manifests to integrate AI platforms with proprietary databases, ERPs, and legacy systems.
  • Design, tune, and scale Retrieval-Augmented Generation pipelines using Microsoft Graph and Google Cloud APIs.
  • Design and implement autonomous workflows using frameworks such as Semantic Kernel, Azure AI Agent Service, or custom Python-based orchestration layers.
  • Connect low-code automations across Power Platform, Power Automate, and Logic Apps with programmatic backend scripts.
  • Conduct structured evaluations of emerging AI platforms and tools, producing clear recommendation reports.
  • Enforce AI governance, tenant isolation, and Data Loss Prevention policies.
  • Ensure AI outputs respect enterprise data boundaries, user-level permissions, Microsoft Entra ID, OAuth 2.0, and regional data residency requirements.
  • Track AI usage, API latency, response quality, and cost trends, building dashboards in Power BI or Looker.
  • Govern Microsoft Power Platform and M365 environments, including security, DLP policies, ALM, and compliance.
  • Operationalize ML and generative AI solutions across the Azure AI ecosystem, using GitHub for CI/CD-driven deployments.

Requirements

  • 0-2 years of hands-on technical experience with Microsoft Copilot Studio, Power Platform, Google Gemini Enterprise, and Vertex AI.
  • Strong proficiency in Python or TypeScript for building custom plugins, data ingestion scripts, and integrations with LLM APIs.
  • Solid understanding of Azure AI Foundry, Azure AI Services, and Google Cloud Platform.
  • Experience with graph data, embeddings, vector databases, and enterprise content management platforms such as SharePoint, OneDrive, and Google Drive.
  • Experience establishing continuous integration and deployment pipelines for AI agents, prompt configurations, and platform automation.
  • Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
  • Basic hands-on experience with Python, TypeScript, JavaScript, or a similar programming language.
  • Familiarity with Microsoft Azure, Google Cloud Platform, Microsoft 365, Power Platform, or comparable enterprise platforms.
  • Basic understanding of generative AI concepts, APIs, data integration, retrieval, prompts, embeddings, or model lifecycle concepts.
  • Awareness of access control, data privacy, compliance, and responsible AI principles in enterprise environments.
  • Ability to learn quickly, document solutions clearly, collaborate with cross-functional teams, and take ownership of assigned tasks.
#AI#Data Engineering#Microsoft Copilot#Google Gemini Enterprise#Vertex AI#Power Platform#Automation#Cloud Engineering
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Company

Carrier

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Entry

Locations

Bengaluru, India

Qualification

Bachelor

Applicants

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