AI Solutions Developer, Finance

About Stripe

Stripe is a financial infrastructure platform for businesses, serving millions of companies globally. Our mission is to increase the GDP of the internet, offering an unparalleled opportunity to impact the global economy.

About The Team

You will join the Finance Operational Excellence team, reporting to the Finance AI Solution Architect. Our mission is to operationalize AI agents at scale for Finance, transforming how finance teams work. We combine Finance domain expertise, data engineering, and emerging AI technologies. We act as Global AI Solution Architects for Finance, collaborating with AI leaders and SMEs across various finance functions. Our goal extends beyond building AI solutions to operationalizing them, enabling finance teams for long-term ownership and adaptation. We teach while we work, leveraging engineering partners for complex technical tasks and custom tool development, while we deliver solutions using Agentic AI and other cutting-edge AI tools. We creatively navigate platform constraints, build reusable knowledge layers, and empower Finance teams to maintain AI solutions independently. Our team possesses deep expertise in data analysis, process digitalization, and applied AI. If you are passionate about technology, problem-solving, and the future of AI in the workplace, we encourage you to apply.

What you'll do

You will work collaboratively with Finance, Product, and Engineering teams to develop and operationalize AI-powered automation solutions that revolutionize how Finance teams operate at Stripe. You will independently automate manual processes, design and build agents and necessary data solutions using internal platforms, and ensure Finance teams can maintain these solutions long-term. You will engage closely with Finance subject matter experts to understand workflows, translate requirements into technical solutions, and iterate based on feedback. When encountering platform limitations, you will devise creative workarounds, collaborate with Engineering to scope and test custom tools, and escalate strategically when necessary. You will establish reusable components to accelerate the portfolio of Finance AI use cases. This role demands a blend of process automation, data operations, technical problem-solving, and stakeholder enablement. Your time will be dedicated to building agents, optimizing their data pipelines, creating knowledge layers for accuracy, and training Finance teams on their use and maintenance. Success means Finance teams independently run agents you've built, requiring only light support from you as you pursue new automation opportunities.

Responsibilities

• Build and operationalize AI agents for Finance use cases using Agentic Solutions and other automation tools, delivering end-to-end solutions from prototype to handoff.
• Design reusable knowledge layers, validation patterns, and data quality frameworks to improve agent accuracy and reliability across multiple use cases.
• Identify agentic limitations and new possibilities; collaborate with Engineering to scope custom tools and integrations (via MCP) when capabilities are insufficient, providing requirements, testing implementations, and integrating tools into agent workflows.
• Work independently to scope automation opportunities, navigate platform constraints through creative workarounds (pre-coded tools, query chaining, validation agents), and strike a balance between speed and quality to deliver impact quickly.
• Enable Finance teams through training, documentation (SOPs, runbooks), and self-service tooling for minimal ongoing support.
• Be the accountable technical expert with Finance SMEs across multiple organizations to understand manual processes, translate requirements into technical solutions, and iterate based on feedback.
• Write and optimize SQL queries for data extraction, transformation, and validation that feed agent workflows, ensuring data quality and accuracy for Finance use cases.
• Establish monitoring and observability for deployed agents, including metrics, alerting, and incident response processes to ensure reliability.
• Serve as the escalation point for technical issues, diagnosing problems independently and collaborating with Engineering when solutions require deeper platform changes.
• Document learnings, patterns, and best practice news bulletins for reuse across the Finance AI portfolio, contributing to organizational knowledge and scaling impact.

Who you are

We are seeking candidates who meet the minimum requirements. Preferred qualifications are a bonus, not a strict requirement.

Minimum Requirements

• 3+ years of experience in Data Analytics, Technical Operations, Business Intelligence, or similar roles.
• Experience with emerging AI/LLM tools, conversational interfaces, prompt engineering, or automation platforms and RPA.
• Proficiency in SQL, including writing complex queries, using CTEs, window functions, and joins for data analysis and pipeline logic.
• Experience with automation through low-code tools, scripting, workflow automation, or building custom integrations that extend platform capabilities, coupled with a curiosity to learn evolving tools.
• Track record of independently scoping and delivering technical solutions for process improvement, demonstrating self-sufficiency and ownership.
• Strong analytical and investigative skills to identify root causes of data issues, debug complex problems, and resolve inconsistencies.
• Understanding of development best practices such as version control, testing, code reviews, and iterative development.
• Familiarity with modern data tools (Python, Databricks, ETL/ELT processes, data pipelines) and coding with AI assistance.

Preferred Qualifications

• Experience with Model Context Protocol (MCP) or similar extensibility frameworks.
• Background in Finance Operations, Financial Planning & Analysis (FP&A), Accounting, Treasury, or Payments.
• Experience navigating the complexity of financial systems (accounting, reporting, reconciliation, payments, etc.) and understanding how data flows through them.
• Experience working in high-growth technology companies with rapidly evolving processes and tools.

Note on technical depth: This role operates at the intersection of no-code AI tools and custom development. While software engineering expertise is not required, you must be comfortable learning technical concepts, collaborating closely with Engineering teams, and using AI-assisted development tools to extend platform capabilities when necessary.

Location & Team Structure

• Location: Bangalore, India (in-office)
• Reports to: Finance AI Solution Architect
• Collaboration: Work closely with Finance teams globally, Engineering partners, and the AI Foundation team

Hybrid work at Stripe

This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).

In-office expectations

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This balances in-person collaboration and learning with individual flexibility.

Working remotely at Stripe

A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live.

Key skills/competency

• AI Solutions Development
• Agentic AI
• Data Analytics
• SQL Proficiency
• Process Automation
• LLM Tools
• Prompt Engineering
• Financial Systems
• Data Pipelines
• Technical Problem Solving