Carrier Recruitment 2026 | Associate AI & Data Engineering | Freshers

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, automation, MLOps, LLMOps, Python, TypeScript, JavaScript, Microsoft Azure, Azure AI Foundry, Azure AI Services, Google Cloud Platform, Vertex AI, Microsoft 365, Microsoft Power Platform, APIs, data integration, embeddings, vector databases

Job Description

As an Associate, 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. You will build and maintain enterprise connectors and integrations, support data grounding solutions, assist in developing Retrieval-Augmented Generation (RAG) pipelines, and gain exposure to automation and agentic AI technologies.

Roles and Responsibilities

• AI Platform Support: Support the design, deployment, and maintenance of enterprise AI platform solutions.
• Platform Work: Work with platforms such as Microsoft Copilot, Copilot Studio, Google Gemini Enterprise, Google Workspace, and Vertex AI.
• Connectors & Integrations: Build and maintain enterprise connectors, plugins, and OpenAPI integrations.
• System Integration: Integrate AI platforms with databases, ERP systems, and legacy applications.
• Data Grounding: Support data grounding and retrieval solutions using Microsoft Graph and Google Cloud APIs.
• RAG Pipeline Development: Assist in developing Retrieval-Augmented Generation (RAG) pipelines.
• Content Sources: Work with enterprise data and content sources such as SharePoint, OneDrive, and Google Drive.
• Multi-Agent Workflows: Support the development of multi-agent workflows.
• Frameworks: Work with frameworks such as Semantic Kernel and Azure AI Agent Service.
• Orchestration: Develop Python-based orchestration solutions where required.
• Power Platform Integration: Connect Power Platform, Power Automate, and Logic Apps with backend scripts.
• Business Automation: Support AI-powered business automation initiatives.
• Platform Evaluation: Participate in evaluating emerging AI platforms and technologies.
• Governance & Security: Implement AI governance and enterprise guardrails, supporting Data Loss Prevention (DLP) policies, and ensuring AI outputs respect user permissions.
• Monitoring: Monitoring AI usage, API latency, response quality, and cost, and building dashboards using Power BI or Looker.
• Power Platform Administration: Support Power Platform governance, managing security and DLP policies, and supporting application lifecycle management (ALM).
• MLOps & LLMOps: Gain exposure to operationalizing machine learning and Generative AI solutions using Azure AI Foundry, Azure Monitor, Application Insights, GitHub CI/CD pipelines, and responsible AI practices.

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. 0–2 years of hands-on experience with Microsoft Copilot Studio, Power Platform, Google Gemini Enterprise, or Vertex AI.

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
• 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:

• Awareness of access control, data privacy, data security, compliance, Responsible AI principles
• Good communication and documentation skills
• Ability to learn quickly and take ownership of assigned tasks