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, Python, TypeScript, Azure, Google Cloud, APIs, data integration, embeddings, vector databases
Job Description
The selected candidate will work on enterprise AI and data engineering initiatives involving multiple AI platforms and cloud technologies. Key responsibilities include supporting the design, deployment, and maintenance of enterprise AI platform solutions and building and maintaining enterprise connectors, plugins, and OpenAPI integrations.
Roles and Responsibilities
- AI Platform Support: Support the design, deployment, and maintenance of enterprise AI platform solutions.
- Platform Engagement: Work with platforms such as Microsoft Copilot, Copilot Studio, Google Gemini Enterprise, Google Workspace, and Vertex AI.
- Integration Development: Build and maintain enterprise connectors, plugins, and OpenAPI integrations.
- System Integration: Integrate AI platforms with databases, ERP systems, and legacy applications.
- Data Grounding & Retrieval: Support data grounding and retrieval solutions using Microsoft Graph and Google Cloud APIs.
- RAG Pipeline Development: Assist in developing Retrieval-Augmented Generation (RAG) pipelines.
- Data Source Work: Work with enterprise data and content sources such as SharePoint, OneDrive, and Google Drive.
- Multi-agent Workflows: Support the development of multi-agent workflows and work with frameworks such as Semantic Kernel and Azure AI Agent Service.
- Orchestration Solutions: Develop Python-based orchestration solutions where required.
- Platform Connection: Connect Power Platform, Power Automate, and Logic Apps with backend scripts.
- AI Business Automation: Support AI-powered business automation initiatives.
- AI Platform Evaluation: Participate in evaluating emerging AI platforms and technologies, assessing platforms (Codex, Claude, Kong AI) against enterprise requirements, and preparing evaluation findings and recommendations.
- AI Governance: Implement AI governance and enterprise guardrails, support Data Loss Prevention (DLP) policies, and ensure AI outputs respect user permissions and enterprise data boundaries.
- Security & Compliance: Work with Microsoft Entra ID and OAuth 2.0 concepts and support regional data residency requirements.
- Monitoring & Dashboards: Monitor AI usage, API latency, response quality, and cost, and build dashboards using Power BI or Looker.
- Power Platform Administration: Support Power Platform governance, manage security and DLP policies, support application lifecycle management (ALM), work with Microsoft Purview for compliance and governance, and use GitHub and CI/CD pipelines to deploy agents and solutions.
- Environment Management: Support standardized environment and release management.
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 one or more of the following: 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, 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