Associate , AI & Data Engineering

Role : Associate , AI & Data Engineering Location :  Bangalore Full/ Part-time :   Full time About Carrier     Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort,   safety   and sustainability to life. Through   cutting-edge   advancements in climate solutions such as temperature control, air   quality   and transportation, we improve lives, empower critical   industries   and ensure safe transport of food, life-saving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the   centre   of   everything we do. For more information, visit   corporate.carrier.com   or follow Carrier on social media at @Carrier.   About the role : Builds enterprise data and AI capabilities to enable secure, scalable, and high-quality data-driven decisions. Applies AI/ML, automation, and strong governance to drive efficiency and business value.

Platform Engineering & Architecture Cross-platform orchestration: Design, deploy, and maintain solution architecture for Microsoft Copilot, Copilot Studio, Google Gemini Enterprise, Google Workspace, and Vertex AI. Custom extensibility: Build and maintain enterprise connectors, plugins, and OpenAPI manifests to integrate AI platforms with proprietary databases, ERPs, and legacy systems. Data grounding and retrieval: Design, tune, and scale Retrieval-Augmented Generation pipelines using Microsoft Graph and Google Cloud APIs to deliver accurate, context-aware AI interactions. 2. Automation & Agentic AI Multi-agent workflows: Design and implement autonomous workflows using frameworks such as Semantic Kernel, Azure AI Agent Service, or custom Python-based orchestration layers. Low-code and full-code integration: Connect low-code automations across Power Platform, Power Automate, and Logic Apps with programmatic backend scripts in Python or TypeScript. 3. AI Platform Evaluation & Assessment Emerging AI platform evaluations: Demonstrate flexibility to assess upcoming AI platforms and tools such as Codex, Claude, and Kong AI by conducting structured evaluations, comparing capabilities against enterprise requirements, and producing clear recommendation reports for leadership and stakeholders. 3. Governance, Security & Performance Enterprise guardrails: Enforce AI governance, tenant isolation, and Data Loss Prevention policies across Microsoft Purview and Google Workspace administration. Access control: Ensure AI outputs respect enterprise data boundaries, user-level permissions, Microsoft Entra ID, OAuth 2.0, and regional data residency requirements. Optimization and observability: Track AI usage, API latency, response quality, and cost trends while building dashboards in Power BI or Looker to optimize licensing and total cost of ownership. 4. Power Platform Administration Responsible for governing Microsoft Power Platform and M365 environments, including security, DLP policies, ALM, and compliance using Microsoft Purview, with hands-on experience using GitHub and CI/CD pipelines to deploy agents and solutions to production. Ensures scalable, secure, and well-governed automation through standardized environment and release management. 5. MLOps & LLMOps Responsible for operationalizing ML and generative AI solutions across the Azure AI ecosystem, including Azure AI Foundry, Azure Monitor, and Application Insights, with hands-on experience using GitHub for CI/CD-driven deployments. Ensures reliable, compliant, and cost-efficient AI operations through model and prompt lifecycle management, observability, and responsible AI practices. Required Technical Qualifications Enterprise AI tooling: 0-2 years of hands-on technical experience with Microsoft Copilot Studio, Power Platform, Google Gemini Enterprise,