# BI & AI Engineer

**Company**: Thomson Reuters
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/India-Hyderabad-Telangana/Senior-BI---AI-Engineer_JREQ202062-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6d6fceab-52f

## Description

We are looking for a hands-on BI & AI Engineer to join our Portfolio Management team in India.

You will own the full data-to-insight pipeline: building complex Power BI reports and Snowflake Dataflows that product and finance leadership rely on daily, and layering LLM-powered AI workflows on top to make that data conversational and actionable.

**Responsibilities**

### Power BI & Data Reporting

- Design and maintain complex Power BI reports and dashboards for portfolio performance, financial actuals vs targets, and resource utilisation.

- Build and manage Power BI Dataflows and semantic models on top of Snowflake , owning the full stack from ingestion to published report.

- Write advanced DAX: calculation groups, time intelligence, dynamic measures, row-level security.

- Optimise report performance and maintain documentation and data lineage across the BI estate.

### Data Engineering & Snowflake

- Query, transform, and model data in Snowflake , building clean fact/dimension structures that feed both BI reports and AI layers.

- Write production-quality SQL and Python to automate data pipelines, replace manual file-based refreshes, and maintain data quality checks.

- Integrate data from sources such as SharePoint, SAP, Workday, Fieldglass, and Azure DevOps into governed reporting layers.

### AI & Agentic Workflow Development

- Build LLM-powered workflows using Claude (Anthropic API) and Claude Code enabling natural-language access to portfolio data, automated insight generation, and intelligent report summaries.

- Design and ship agentic pipelines that automate repetitive analysis tasks: data mapping maintenance, anomaly flagging, narrative generation for financial reports.

- Develop prompt engineering standards and evaluation frameworks to ensure AI outputs are accurate and reliable in a financial reporting context.

- Explore and implement AI-assisted approaches to ETL maintenance and transformation code generation.

### Automation & Process Improvement

- Build Power Automate flows to streamline data collection, approval workflows, and report distribution processes.

- Identify and eliminate manual, error-prone reporting processes , replacing them with automated, auditable pipelines.

- Partner with Finance, Product Operations, and Product Engineering teams to gather requirements and deliver tools that save time.

**Requirements**

### Must-Have Skills

- Power BI , advanced report building, Dataflows, semantic models, complex DAX, RLS, deployment pipelines.

- Snowflake , schema design, complex SQL, data modelling, performance tuning, integration with Power BI.

- Python , data engineering scripts, Pandas, REST API calls, automation. Comfortable writing code that runs in scheduled pipelines.

- LLM / Agentic AI , hands-on experience shipping AI workflows using Claude, LangChain, LlamaIndex, or equivalent. Not just prompting , actual applications in production or near-production.

- Power Automate , building business automation flows integrated with Microsoft 365 and SharePoint.

- DAX & SQL , strong command of both for analytical and engineering purposes.

- Domain context , ability to work with financial data (actuals, targets, forecasts), portfolio tracking data, and resource/headcount data.

### Nice to Have

- Experience with DBT, Azure Data Factory, or Microsoft Fabric Notebooks for pipeline orchestration.

- Familiarity with Azure DevOps data (Work Items, iterations) as a portfolio execution data source.

- Exposure to vector databases, semantic search, or RAG architectures.

- Claude Code experience for AI-accelerated development workflows.

**Benefits**

- Hybrid Work Model: flexible hybrid working environment (2-3 days a week in the office depending on the role).

- Flexibility & Work-Life Balance: Flex My Way supportive workplace policies.

- Career Development and Growth: continuous learning and skill development.

- Industry Competitive Benefits: comprehensive benefit plans.

- Culture: award-winning reputation for inclusion and belonging, flexibility, work-life balance.

- Social Impact: opportunities for community involvement and ESG initiatives.

## Skills

### Required
- Power BI
- Snowflake
- Python
- LLM / Agentic AI
- Power Automate
- DAX
- SQL

### Nice to have
- DBT
- Azure Data Factory
- Microsoft Fabric Notebooks
- Azure DevOps
- vector databases
- semantic search
- RAG architectures
- Claude Code

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Source: [Apply at thomsonreuters.wd5.myworkdayjobs.com](https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/India-Hyderabad-Telangana/Senior-BI---AI-Engineer_JREQ202062-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)