Carrier
Carrier

Carrier Recruitment 2026 | Associate AI & Data Engineering | Freshers

onsite
Bangalore
Posted 8/18/2026
Exp: 0-2y

Job Overview

Role: Associate – AI & Data Engineering Location: Bangalore Experience: 0–2 Years Qualification: Bachelor’s Degree in Computer Science, Data Science, Information Systems, Engineering, or a related field Key Skills: Artificial Intelligence, Generative AI, Data Engineering, AI Platforms, Cloud Technologies (Azure, Google Cloud), Python, TypeScript, JavaScript, Automation, MLOps, LLMOps, APIs, Data Integration, Embeddings, Vector Databases, Power Platform, Microsoft Copilot, Copilot Studio, Google Gemini Enterprise, Vertex AI

Job Description

As an Associate in AI & Data Engineering at Carrier, you will work on enterprise AI and data engineering initiatives involving multiple AI platforms and cloud technologies. This role focuses on supporting the design, deployment, and maintenance of enterprise AI platform solutions, building connectors and integrations, and developing Retrieval-Augmented Generation (RAG) pipelines. You will also gain exposure to automation, agentic AI technologies, and MLOps, contributing to solutions that enhance business efficiency and intelligence.

Roles and Responsibilities

  • AI Platform Solutions: Support the design, deployment, and maintenance of enterprise AI platform solutions, working with platforms such as Microsoft Copilot, Copilot Studio, Google Gemini Enterprise, Google Workspace, and Vertex AI.
  • Integrations & Data Grounding: Build and maintain enterprise connectors, plugins, and OpenAPI integrations, integrating AI platforms with databases, ERP systems, and legacy applications. Support data grounding and retrieval solutions using Microsoft Graph and Google Cloud APIs, and assist in developing Retrieval-Augmented Generation (RAG) pipelines.
  • Content Sources: Work with enterprise data and content sources such as SharePoint, OneDrive, and Google Drive.
  • Automation & Agentic AI: Support the development of multi-agent workflows, work with frameworks such as Semantic Kernel and Azure AI Agent Service, develop Python-based orchestration solutions, and connect Power Platform, Power Automate, and Logic Apps with backend scripts.
  • Evaluation & Governance: Participate in evaluating emerging AI platforms and technologies, and support AI governance, Data Loss Prevention (DLP) policies, and regional data residency requirements.
  • Monitoring & MLOps: Monitor AI usage, API latency, response quality, and cost, build dashboards using Power BI or Looker, and gain exposure to MLOps & LLMOps using Azure AI Foundry, Azure Monitor, Application Insights, and GitHub CI/CD pipelines.
  • Power Platform Administration: Support Power Platform governance, managing security and DLP policies, application lifecycle management (ALM), and standardized environment and release management.

Skills and Eligibility Criteria

Educational Background: Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.

Experience: 0–2 years of relevant experience in AI platforms, cloud engineering, automation, data platforms, or enterprise application development.

Mandatory Technical Skills:

  • Basic hands-on experience with Python, TypeScript, JavaScript, or a similar programming language
  • Ability to build scripts, integrations, custom plugins, and applications using programming languages
  • Basic understanding of Generative AI, Large Language Models (LLMs), APIs and data integration, Retrieval-Augmented Generation (RAG), Prompts and prompt engineering, Embeddings, Vector databases, AI model lifecycle concepts, Data processing and ingestion
  • Familiarity with Microsoft Azure, Azure AI Foundry, Azure AI Services, Google Cloud Platform, Vertex AI, Microsoft 365, Microsoft Power Platform
  • Awareness of Access control, Data privacy, Data security, Compliance, Responsible AI principles
  • Strong proficiency in Python or TypeScript for integrations, data ingestion scripts, and LLM API integrations
  • Understanding of Azure AI Foundry, Azure AI Services, and Google Cloud Platform
  • Experience or knowledge of graph data, embeddings, vector databases, and enterprise content management systems
  • Experience with continuous integration and deployment pipelines for AI agents, prompt configurations, and platform automation

Competencies:

  • Good communication and documentation skills
  • Ability to learn quickly and take ownership of assigned tasks
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About the Company

Carrier is hiring for the position of Associate, AI & Data Engineering in Bangalore. This role focuses on Artificial Intelligence, Generative AI, Data Engineering, AI platforms, cloud technologies, automation, MLOps, and enterprise AI solutions. Candidates will work on enterprise AI and data engineering initiatives involving multiple AI platforms and cloud technologies.