Finance AI Engineer

About Anthropic

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

About the Role

Were looking for a Finance AI Engineer to help build the next generation of AI-powered tools for finance and accounting teams. Youll work at the intersection of finance operations AI product development and engineeringpartnering closely with our Finance team to transform how finance professionals interact with data process documents and automate their workflows using Claude.

This role offers the opportunity to take full ownership of complex problems at the frontier of AI application in finance. Youll build Claude Skills and workflows that encode deep institutional knowledge about financial data accounting conventions and business logic. Your work will span both internal tools for Anthropics finance team and insights that inform external productsdirectly contributing to our mission of building safe and beneficial AI systems.

In this role you will:

• Partner with Anthropics Finance team to build Claude-powered tools that transform how finance professionals interact with data process documents and automate their workflows

• Embed with FP&A accounting and finance systems teams to identify high-value automation opportunities and translate them into production-ready AI workflows

• Design and implement systems that handle OCR document parsing and data extraction to transform unstructured finance documents (invoices contracts statements) into structured actionable data

• Develop deep institutional knowledge of Anthropics financial data architecture (BigQuery warehouse accounting conventions business logic) and encode that knowledge into AI-powered tools

• Own the full lifecycle from discovery through deployment: scoping requirements with finance users building prototypes gathering feedback and iterating to production

• Contribute to the underlying Finance AI platform architecture including evaluation frameworks scheduled workflows and collaboration features

• Build AI-powered workflows that enable natural language queries against financial data systems automated reporting and document processing pipelines

• Create technical documentation and provide hands-on guidance to finance teams on how to leverage AI tools effectively

Responsibilities:

• Have experience working embedded with finance or accounting teams understanding their workflows terminology and pain points

• Can speak fluently about financial concepts: revenue recognition accruals close processes SOX controls FP&A reporting cycles

• Have strong software engineering fundamentals and ability to build end-to-end applications

• Have strong SQL skills and experience working with data warehouses (BigQuery Snowflake) to build analytical products

• Have experience with document processing (OCR) natural language processing or working with unstructured data

• Have a track record of building trust with non-technical stakeholders and shipping products they actually use

• Thrive building prototypes or MVPs quickly and iteratively in fast-paced environments

• Are excited about AIs potential to transform knowledge work and care about building systems that are safe and beneficial

Strong candidates may also have:

• Experience building natural language interfaces to data systems (text-to-SQL conversational analytics)

• Experience with LLMs prompt engineering and AI application development

• Familiarity with financial data structures accounting systems (ERP platforms like Oracle Workday NetSuite)

• Prior experience with financial processes including close reporting and compliance workflows

• Familiarity with the unique challenges of AI evaluation: measuring accuracy handling edge cases building user trust

• Prior experience at a high-growth startup where finance processes were still being built

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policyfor using AI in our application process