Carrier
Carrier

Associate – AI & Data Engineering

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

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, Enterprise AI, Python, TypeScript, Azure, Google Cloud, APIs, Data Integration, Embeddings, Vector Databases

Job Description

Carrier is hiring for the position of Associate, AI & Data Engineering in Bangalore. Candidates with a Bachelor’s degree and 0–2 years of relevant experience can apply for this opportunity. The role focuses on Artificial Intelligence, Generative AI, Data Engineering, AI platforms, cloud technologies, automation, MLOps, and enterprise AI solutions. Candidates with knowledge of Python or TypeScript, Azure, Google Cloud, APIs, data integration, embeddings, and vector databases are encouraged to apply. The selected candidate will work on enterprise AI and data engineering initiatives involving multiple AI platforms and cloud technologies.

Roles and Responsibilities

  • AI 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; Support data grounding and retrieval solutions using Microsoft Graph and Google Cloud APIs.
  • Generative AI: Assist in developing Retrieval-Augmented Generation (RAG) pipelines; Work with enterprise data and content sources such as SharePoint, OneDrive, and Google Drive.
  • Automation: 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.
  • Evaluation: Participate in evaluating emerging AI platforms and technologies (e.g., Codex, Claude, Kong AI) against enterprise requirements, security, performance, and integration options; Prepare evaluation findings and recommendations.
  • Governance & Security: Implement AI governance and enterprise guardrails; Support Data Loss Prevention (DLP) policies; Ensuring AI outputs respect user permissions and enterprise data boundaries; Work with Microsoft Entra ID and OAuth 2.0 concepts.
  • Monitoring: Support regional data residency requirements; Monitoring AI usage, API latency, response quality, and cost; Building dashboards using Power BI or Looker.
  • Power Platform Admin: Support Power Platform governance, security, DLP policies, and application lifecycle management (ALM); Work with Microsoft Purview; Use GitHub and CI/CD pipelines for deployment.
  • MLOps & LLMOps: Gain exposure to operationalizing machine learning and Generative AI solutions using Azure AI Foundry, Azure Monitor, Application Insights, GitHub CI/CD, 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 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, and 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.
Apply Now

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.