Carrier Associate AI & Data Engineering Hiring Freshers 2026

Carrier Associate AI & Data Engineering Hiring Freshers 2026

Introduction

Carrier is hiring for the Associate, AI & Data Engineering role in Bangalore. This full-time opportunity is part of the Digital Technology function and focuses on enterprise artificial intelligence, data engineering, cloud platforms, automation, and AI governance.

The role is suitable for early-career professionals with a Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field. Candidates with 0–2 years of relevant experience can apply if they have foundational knowledge of Python or TypeScript, generative AI, APIs, cloud platforms, data integration, and enterprise technology.

Quick Job Snapshot

Company Name	Carrier Global Corporation
Role	Associate, AI & Data Engineering
Job Category	Digital Technology
Qualification	Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or related field
Eligible Batch	2024, 2025, 2026
Experience	0–2 years of relevant experience
Job Location	Bangalore, Karnataka, India
Work Type	Full Time
Salary	As per Company Standards

About the Role

The Associate, AI & Data Engineering role focuses on helping Carrier build secure and scalable enterprise AI and data capabilities. The position involves working with Microsoft and Google AI ecosystems, including Microsoft Copilot, Copilot Studio, Google Gemini Enterprise, Vertex AI, Azure AI services, and Google Cloud Platform.

The selected candidate may work on AI platform integrations, custom connectors, data retrieval systems, automation workflows, and enterprise applications. The role also covers Retrieval-Augmented Generation (RAG), agentic AI, AI governance, security, data access controls, and observability.

Programming is an important part of the position. Carrier asks for basic hands-on experience with Python, TypeScript, JavaScript, or a similar language. Candidates with knowledge of APIs, embeddings, vector databases, cloud computing, GitHub, and CI/CD can highlight these skills in their resumes.

Fresh graduates can also strengthen their understanding of AI technologies through our GenAI interview questions and answers for freshers guide.

Key Responsibilities

• Design and maintain enterprise AI solutions across Microsoft and Google platforms.
• Build connectors, plugins, and OpenAPI integrations for enterprise systems.
• Develop data grounding and Retrieval-Augmented Generation pipelines.
• Support AI workflows using platforms such as Microsoft Copilot Studio and Vertex AI.
• Build automation using Python, TypeScript, Power Platform, Power Automate, and Logic Apps.
• Evaluate emerging AI platforms and prepare recommendations based on business requirements.
• Support AI governance, security, access control, and data protection requirements.
• Monitor AI usage, API performance, response quality, and cost trends.
• Support Power Platform and Microsoft 365 administration, security, DLP, and compliance activities.
• Work with GitHub and CI/CD pipelines for deploying AI agents and solutions.
• Support MLOps and LLMOps activities across the Azure AI ecosystem.
• Document technical solutions and collaborate with cross-functional teams.

Qualification Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
• 0–2 years of relevant experience in AI platforms, cloud engineering, automation, data platforms, or enterprise application development.
• Basic hands-on programming experience with Python, TypeScript, JavaScript, or a similar language.
• Familiarity with Microsoft Azure, Google Cloud Platform, Microsoft 365, Power Platform, or comparable enterprise platforms.
• Basic understanding of generative AI concepts and APIs.
• Understanding of data integration, retrieval, prompts, embeddings, or model lifecycle concepts.
• Awareness of access control, data privacy, compliance, and responsible AI principles.
• Strong learning ability, documentation skills, communication, and ownership.

Skills to Highlight in Your Resume

• Python or TypeScript programming
• Generative AI and LLM fundamentals
• Microsoft Copilot and Copilot Studio
• Google Gemini Enterprise and Vertex AI
• Azure AI Foundry and Azure AI Services
• Google Cloud Platform
• Retrieval-Augmented Generation (RAG)
• APIs and data integration
• Embeddings and vector databases
• Power Platform and Power Automate
• GitHub and CI/CD
• AI governance and responsible AI
• Cloud security and access control

Candidates interested in developing technology skills can explore our highest-paying skills in 2026 guide. Those interested in cloud careers can also read about highest-paying cloud jobs in India.

Why Consider This Opportunity?

This Carrier opportunity is relevant for early-career professionals who want to build a career in AI engineering, data engineering, cloud computing, enterprise automation, and Generative AI. The role covers several modern technologies rather than focusing on a single development area.

Candidates can gain exposure to enterprise AI platforms, RAG pipelines, AI agents, cloud services, CI/CD, governance, security, and data engineering concepts. It may therefore suit graduates who enjoy learning new technologies and working across software, cloud, and AI environments.

The position also emphasizes documentation, collaboration, and ownership, making communication and professional skills important alongside technical knowledge.

How to Apply

Interested candidates should apply through the official Carrier careers website. Follow these steps:

1. Open the official Carrier job listing.
2. Review the Associate, AI & Data Engineering requirements carefully.
3. Prepare an updated resume highlighting AI, cloud, programming, data, and automation skills.
4. Mention relevant academic projects, internships, certifications, or personal AI projects.
5. Highlight practical experience with Python, TypeScript, Azure, Google Cloud, GitHub, APIs, or GenAI where applicable.
6. Complete the online application with accurate educational and professional information.
7. Submit the application through the official Carrier careers portal.
8. Monitor your email for further communication about the recruitment process.

Frequently Asked Questions (FAQs)

1. What qualification is required for the Carrier Associate AI & Data Engineering role?
Candidates should have a Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.

2. Can freshers apply for the Carrier AI & Data Engineering role?
The company lists 0–2 years of relevant experience and states that the minimum requirement includes foundational programming, cloud, AI, and data knowledge. Candidates at the early-career stage should review the requirements and apply if they meet them.

3. What programming skills are required?
Carrier asks for basic hands-on experience with Python, TypeScript, JavaScript, or a similar programming language. Python or TypeScript is particularly relevant to the technical responsibilities described.

4. What AI and cloud technologies are mentioned in the job description?
The role mentions Microsoft Copilot, Copilot Studio, Google Gemini Enterprise, Vertex AI, Azure AI Foundry, Azure AI Services, Google Cloud Platform, RAG, AI agents, and related enterprise AI technologies.

5. What is the salary for the Carrier Associate AI & Data Engineering role?
The salary is not specified by the company in the provided job description. Therefore, it is listed as As per Company Standards.

Conclusion

The Carrier Associate, AI & Data Engineering role is an opportunity for early-career professionals interested in enterprise AI, data engineering, cloud platforms, automation, and Generative AI. Candidates with a relevant Bachelor’s degree and foundational skills in programming, AI, cloud, and data technologies should prepare a focused resume and apply through the official Carrier careers page.