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- Data Engineering

Associate , AI &
- Data Engineering

Carrier

Bengaluru

0-2 years

Today

$7.2K–12.0K/yr

Full-time

Onsite

Skills Required

LLM

RAG

Agentic AI

Embeddings

Vector Database

Gen AI

Google Gemini Enterprise

LLM APIs

LLMOps

Python

TypeScript

JavaScript

Microsoft Copilot Studio

Power Platform

Vertex AI

Description

Builds enterprise data and AI capabilities to enable secure, scalable, high-quality data-driven decisions. The role focuses on integrating and governing generative AI across Microsoft Copilot and Google Gemini Enterprise.

Company: Carrier

Role: Associate , AI &

- Data Engineering

Location: Bangalore

Experience

- 0-2 years of hands-on technical experience with Microsoft Copilot Studio, Power Platform, Google Gemini Enterprise, and Vertex AI
- 0-2 years of relevant experience in AI platforms, cloud engineering, automation, data platforms, or enterprise application development
- Basic hands-on experience with Python, TypeScript, JavaScript, or a similar programming language
- Familiarity with Microsoft Azure, Google Cloud Platform, Microsoft 365, Power Platform, or comparable enterprise platforms
- Basic understanding of generative AI concepts, APIs, data integration, retrieval, prompts, embeddings, or model lifecycle concepts
- Awareness of access control, data privacy, compliance, and responsible AI principles in enterprise environments
- Ability to learn quickly, document solutions clearly, collaborate with cross-functional teams, and take ownership of assigned tasks

Qualification

- Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field

Responsibilities

- Design, deploy, and maintain solution architecture for Microsoft Copilot, Copilot Studio, Google Gemini Enterprise, Google Workspace, and Vertex AI
- Build and maintain enterprise connectors, plugins,



and OpenAPI manifests to integrate AI platforms with proprietary databases, ERPs, and legacy systems
- Design, tune, and scale Retrieval-Augmented Generation pipelines using Microsoft Graph and Google Cloud APIs
- Design and implement autonomous multi-agent workflows using Semantic Kernel, Azure AI Agent Service, or custom Python-based orchestration layers
- Connect low-code automations across Power Platform, Power Automate, and Logic Apps with programmatic backend scripts in Python or TypeScript
- Assess upcoming AI platforms and tools such as Codex, Claude, and Kong AI against enterprise requirements and produce recommendation reports
- Enforce AI governance, tenant isolation, and Data Loss Prevention policies across Microsoft Purview and Google Workspace administration
- Ensure AI outputs respect enterprise data boundaries, user-level permissions, Microsoft Entra ID, OAuth 2.0, and regional data residency requirements
- Track AI usage, API latency, response quality, and cost trends with dashboards in Power BI or Looker
- Govern Microsoft Power Platform and M365 environments, including security, DLP policies, ALM, and compliance
- Deploy agents and solutions to production using GitHub and CI/CD pipelines
- Operationalize ML and generative AI solutions across the Azure AI ecosystem with model and prompt lifecycle management, observability, and responsible AI practices

Additional Responsibilities

- Use standardized environment and release management for scalable, secure, well-governed automation




- Optimize licensing and total cost of ownership through observability and usage tracking
- Support reliable, compliant, and cost-effective AI operations

More Skills Azure AI Foundry, Azure AI Services, Google Cloud Platform, Microsoft Graph, Google Cloud APIs, Semantic Kernel, Azure AI Agent Service, Power Automate, Logic Apps, Power BI, Looker, Microsoft Purview, Microsoft Entra ID, OAuth 2.0, GitHub, CI/CD pipelines, Azure Monitor, Application Insights, graph data, SharePoint, OneDrive, Google Drive, OpenAPI manifests

Other

- Full time
- Job Category: Digital Technology
- Job ID 30213204
- Carrier Global Corporation is a global leader in intelligent climate and energy solutions
- Benefits may include a competitive total rewards package and other benefits and well-being programs
- Equal treatment and non-discrimination policy applies to all qualified applicants
- Technology enabled tools may support parts of the recruitment process with oversight by people

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