Job Description

Role: AI Engineer

Experience - 6+ Years

Location - Nagpur/Pune (WFO)

Key Responsibilities

Configure CoPilot Studio entities, topics, plugins/connectors, prompts; connect to approved data sources and APIs; implement guardrails, content filters, and access controls
Advise customer data and BI teams on integrating AI capabilities into existing Databricks and Power BI (PBI) environments
Work with data owners to provide security access; map schemas; integrate with M365, SharePoint, Teams, Dynamics, or approved line-of-business systems as needed
Create test plans and datasets; run iterative user testing with the SME; measure precision/recall, containment, hallucination rate, latency, and user satisfaction; tune prompts and knowledge sources
Design and implement AI-driven solutions to:
Improve user experience across analytics platforms
Enable automation of repetitive data and reporting tasks
Reduce turnaround time for insights generation
Build and deploy AI/ML models, including LLM-based applications and intelligent agents
Leverage AI capabilities within Databricks for data processing, predictive analytics, and advanced insights
Utilize Power BI tools such as Copilot and MCP (Model Context Protocol) for enhanced reporting and interactivity
Collaborate with stakeholders to understand business requirements and translate them into AI-enabled solutions
Ensure scalability, reliability, and performance of AI solutions within enterprise data ecosystems

Required Skills & Qualifications

6+ years of experience as an AI Engineer / AI Consultant / Data & Analytics professional
Strong understanding of data engineering and analytics workflows
6+ years in conversational AI, low-code/no-code platforms or applied product/automation; hands-on with CoPilot Studio and Power Automate
Familiarity with the M365 ecosystem; connecting to SharePoint/OneDrive, Dataverse, Dynamics, or REST/Graph APIs; understanding of authentication, permissions, and data lineage
Rich experience in monitoring and optimizing CoPilot Studio performance
Microsoft Ecosystem: Power Platform experience (Power Automate, Power Apps, Dataverse); Microsoft Graph; Azure OpenAI familiarity
Scripting: Light scripting for data preparation or API glue (e.g., PowerShell, Python, JavaScript) where allowed
Working knowledge of Power BI, including Copilot and MCP capabilities
Working knowledge of Databricks and AI integration with Databricks
Working knowledge of privacy, security, and responsible AI practices in an enterprise context
Experience with:
Large Language Models (LLMs)
AI Agents and orchestration frameworks
MCP Servers and AI-driven architectures
Solid understanding of data models and data structures
Strong problem-solving and analytical skills
Strategic thinking with a focus on AI-driven transformation
Continuous learning attitude toward emerging AI technologies
Excellent communication and stakeholder management abilities