Carrier
Carrier

Carrier Recruitment 2026 | Associate AI & Data Engineering | Freshers

onsite
Bangalore
Posted 8/17/2026
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), Automation, MLOps, Python, TypeScript, LLMs, APIs, 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. You will support the design, deployment, and maintenance of enterprise AI platform solutions, building and maintaining enterprise connectors and OpenAPI integrations. The role involves integrating AI platforms with various systems, supporting data grounding and retrieval solutions, and assisting in developing Retrieval-Augmented Generation (RAG) pipelines.

Roles and Responsibilities

  • Platform Support: Support the design, deployment, and maintenance of enterprise AI platform solutions. Work with platforms such as Microsoft Copilot, Copilot Studio, Google Gemini Enterprise, Google Workspace, and Vertex AI.
  • Integration: Build and maintain enterprise connectors, plugins, and OpenAPI integrations. 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. Assist in developing Retrieval-Augmented Generation (RAG) pipelines. 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 where required. Connect Power Platform, Power Automate, and Logic Apps with backend scripts. Support AI-powered business automation initiatives.
  • Platform Evaluation: Participate in evaluating emerging AI platforms and technologies. Assess platforms such as Codex, Claude, and Kong AI against enterprise requirements. Compare capabilities, security, performance, and integration options. Prepare evaluation findings and recommendations for stakeholders.
  • Governance & Security: Implement AI governance and enterprise guardrails. Support Data Loss Prevention (DLP) policies. Ensure AI outputs respect user permissions and enterprise data boundaries. Work with Microsoft Entra ID and OAuth 2.0 concepts. Support regional data residency requirements.
  • Monitoring & Performance: Monitor AI usage, API latency, response quality, and cost. Build dashboards using Power BI or Looker.
  • Power Platform Administration: Support Power Platform governance. Managing security and DLP policies. Supporting application lifecycle management (ALM). Working with Microsoft Purview for compliance and governance. Using GitHub and CI/CD pipelines to deploy agents and solutions. Supporting standardized environment and release management.
  • MLOps & LLMOps: Gain exposure to operationalizing machine learning and Generative AI solutions, including Azure AI Foundry, Azure Monitor, Application Insights, GitHub CI/CD pipelines, model/prompt lifecycle management, AI observability, 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.

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