AI & Data Analytics Engineer

GenAI & Agentic AI

• Identify and develop practical GenAI and Agentic AI use cases across business functions.

• Build AI assistants, RAG solutions, AI agents and Natural Language-to-SQL solutions.

• Integrate AI solutions with enterprise applications, databases, APIs and workflows.

• Develop POCs and convert successful AI solutions into production.

Automation

• Identify repetitive and manual business processes for automation.

• Develop intelligent automation using AI, Python, APIs, workflow/RPA tools and other suitable technologies.

• Measure automation impact through productivity improvement, effort reduction and process efficiency.

Data Governance

• Drive Master Data and Transaction Data Governance across SAP and Non-SAP systems.

• Develop data-quality rules, validation mechanisms and exception monitoring.

• Identify duplicates, inaccuracies and inconsistencies and support corrective actions.

• Develop dashboards to monitor data quality and governance KPIs.

Analytics & Dashboards

• Develop interactive management and business dashboards using Power BI, SAP Analytics Cloud or similar platforms.

• Develop predictive analytics and forecasting models for Sales, Finance, Supply Chain, Inventory and other business functions.

• Convert complex data into actionable insights for management decision-making.

• Automate MIS and recurring business reporting.

Business Collaboration

• Work with business stakeholders to understand requirements and identify opportunities for AI, automation and analytics.

• Translate business problems into scalable technology solutions.

• Collaborate with SAP, IT and business teams for implementation and adoption.

Technical Skills and experience

Education - Graduate

Experience - 2–5 Years

•Strong Python, SQL, Excel and Data Analytics skills.

•Knowledge of Generative AI, LLMs, Prompt Engineering, RAG and Agentic AI.

•Experience with frameworks such as LangChain, LangGraph, LlamaIndex or CrewAI is preferred.

•Experience with Power BI / SAP Analytics Cloud / Tableau or similar BI tools.

•Understanding of Machine Learning, Predictive Analytics and Statistics.

•Knowledge of databases such as Oracle, PostgreSQL, MySQL or equivalent.

•Exposure to Azure / AWS / GCP, APIs and cloud platforms.

•Exposure to SAP S/4HANA, SAP BTP or enterprise ERP systems will be an advantage

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