Senior BI & AI Engineer
AI in this role
We're looking for a hands-on BI & AI Engineer to join our Portfolio Management team in India. You'll 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.
This is an individual contributor role for someone who can move comfortably between writing DAX, querying Snowflake, automating business processes in Power Automate, and shipping Python-based agentic workflows with the Anthropic API, all within the context of portfolio reporting, financial planning, and resource management.
About the role
In this opportunity, you will be responsible for:
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.
About you
You’re a fit for the role if your background includes:
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.
Experience & Background
8–10 years of experience in BI engineering, data engineering, or analytics engineering.
At least 3 years of hands-on Power BI development (reports + Dataflows + semantic models — not just report building).
At least 1–2 years of applied LLM or AI workflow development in a professional context, with something to show for it.
Master’s degree in computer science, Data Engineering, Information Systems, or equivalent experience.
#LI-NG1
What’s in it For You?
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com.
How we rate this
Senior BI & AI Engineer at Thomson Reuters rates 14 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What's a project where you used Claude hands-on?
- Walk me through how you've used Anthropic in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, RAG, AI Agents, Claude, and Anthropic. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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