Carrier Global Corporation has announced an exciting opportunity for freshers and early-career professionals for the position of Associate, AI & Data Engineering in Bangalore. The role focuses on enterprise AI, data engineering, generative AI, automation, cloud platforms, RAG, AI agents, MLOps, and LLMOps.
Candidates with a Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related discipline and 0–2 years of relevant experience can apply.
Carrier Associate, AI & Data Engineering Recruitment 2026
| Particular | Details |
|---|---|
| Company | Carrier Global Corporation |
| Job Title | Associate, AI & Data Engineering |
| Job ID | 30213204 |
| Job Category | Digital Technology |
| Experience | 0–2 years |
| Qualification | Bachelor’s Degree |
| Job Type | Full Time |
| Job Location | Bangalore, Karnataka |
| Work Location | Ecospace Campus, Bellandur |
| Posted Date | August 14, 2026 |
About Carrier
Carrier Global Corporation is a global leader in intelligent climate and energy solutions. The company develops technologies focused on comfort, safety, sustainability, temperature control, air quality, transportation, and other critical applications.
For this position, Carrier is looking for an AI Platforms Engineer who can help build, integrate, scale, and govern enterprise AI capabilities across Microsoft and Google ecosystems.
About the Associate, AI & Data Engineering Role
The selected candidate will work on enterprise data and AI capabilities designed to support secure, scalable, and high-quality data-driven decision-making.
The role combines:
- Generative AI
- Artificial Intelligence and Machine Learning
- Data Engineering
- RAG systems
- AI agents
- Cloud platforms
- Automation
- Enterprise integrations
- MLOps and LLMOps
- AI governance and security
- CI/CD
Key Responsibilities
1. AI Platform Engineering
Candidates may work with platforms and technologies including:
- Microsoft Copilot
- Copilot Studio
- Google Gemini Enterprise
- Google Workspace
- Google Vertex AI
- Azure AI Foundry
- Azure AI Services
The role involves designing and maintaining enterprise AI architectures and integrating AI platforms with internal business systems.
2. RAG and Data Grounding
The position involves developing and improving Retrieval-Augmented Generation (RAG) pipelines to provide AI systems with reliable enterprise information.
Candidates may work with:
- Embeddings
- Vector databases
- Microsoft Graph APIs
- Google Cloud APIs
- Enterprise content repositories
- SharePoint
- OneDrive
- Google Drive
3. AI Agents and Automation
The engineer will also work on agentic AI and automated workflows using technologies such as:
- Semantic Kernel
- Azure AI Agent Service
- Python-based orchestration
- Power Automate
- Power Platform
- Logic Apps
- TypeScript
The role requires connecting low-code automation platforms with custom Python or TypeScript services.
4. AI Platform Evaluation
The team may evaluate emerging AI platforms and tools such as:
- Codex
- Claude
- Kong AI
- Other enterprise AI platforms
Candidates will be expected to compare technologies against business and enterprise requirements and communicate recommendations to stakeholders.
5. AI Security and Governance
Security and responsible AI are important parts of this position.
Responsibilities may include working with:
- Microsoft Purview
- Microsoft Entra ID
- OAuth 2.0
- Data Loss Prevention (DLP)
- Access control
- Tenant isolation
- Data residency
- Responsible AI practices
The goal is to ensure that AI systems only access and return information that users are authorized to see.
6. MLOps and LLMOps
The position also covers operationalizing AI and ML applications using tools such as:
- Azure AI Foundry
- Azure Monitor
- Application Insights
- GitHub
- CI/CD pipelines
Candidates may contribute to model lifecycle management, prompt management, monitoring, performance optimization, and cost management.
Required Technical Skills
Candidates should have a basic to strong understanding of the following areas:
Programming
- Python
- TypeScript
- JavaScript
Python is particularly relevant for building integrations, data ingestion scripts, AI workflows, and LLM applications.
AI & Data
Knowledge of:
- Generative AI
- LLMs
- RAG
- Embeddings
- Vector databases
- APIs
- Data integration
- AI agents
- Model lifecycle concepts
Cloud
Familiarity with:
- Microsoft Azure
- Azure AI
- Google Cloud Platform
- Vertex AI
Experience with Microsoft 365 or Power Platform is also valuable.
DevOps
Understanding of:
- GitHub
- Git
- CI/CD
- Deployment automation
- AI/ML application monitoring
Eligibility Criteria
According to the job description, candidates should meet the following minimum requirements:
Educational Qualification:
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.
Programming:
Basic hands-on experience with Python, TypeScript, JavaScript, or a similar programming language.
Cloud Knowledge:
Familiarity with Azure, Google Cloud Platform, Microsoft 365, Power Platform, or comparable enterprise technologies.
AI Knowledge:
Understanding of generative AI, APIs, retrieval, prompts, embeddings, and related concepts.
Security Awareness:
Basic understanding of access control, data privacy, compliance, and responsible AI.
Who Should Apply?
This opportunity can be particularly relevant for:
- B.Tech/B.E. Computer Science graduates
- Data Science graduates
- AI/ML graduates
- Information Technology graduates
- Junior AI Engineers
- Junior Data Engineers
- Python Developers moving into AI
- GenAI developers
- RAG developers
- AI Agent developers
- Candidates with cloud and AI project experience
Candidates with 0–2 years of experience should not assume that they need to know every technology listed in the description. The minimum requirements emphasize foundational programming, cloud, AI/data concepts, and the ability to learn enterprise platforms.
Important Skills to Prepare
Candidates preparing for this position should focus on:
- Python programming
- Generative AI fundamentals
- LLM APIs
- RAG architecture
- Embeddings and vector databases
- AI agents
- REST APIs
- Azure fundamentals
- Google Cloud fundamentals
- Git and GitHub
- CI/CD
- Data security and access control
- MLOps/LLMOps fundamentals
- Power Platform basics
- Microsoft Copilot and Copilot Studio fundamentals
Job Location
Carrier Global Corporation
Ecospace Campus, 3A, 4th Floor
Outer Ring Road, Bellandur
Bengaluru – 560103, Karnataka
| Apply Now | Click Here |
| Official Website | Click Here |
Join For More Updates
| 1. Official Telegram | Click Here |
| 2. Download App | Click Here |
| 3. Download Study Routine App | Click Here |
| 4. Follow for AI Jobs | Clikc Here |
| 4. CS/IT Job Alert | Click Here |
| 5. Join For Engineering Exam Job Alerts | Click Here |
| 6. DRDO & ISRO Job Alert | Click Here |
| 7. EXAM PYQ PDF | Click Here |
| 8. Placement CS\IT | Click Here |