Senior AI Engineer, Finance AI & Automation

Summary by AIEngineer.careers

Senior AI Engineer, Finance AI & Automation is a AI Engineer role (full-time). with BMO Bank N.A. in 320CANAL, US. Compensation shown: $120K–$250K. Imported listing (source: bmo.wd3.myworkdayjobs.com). Apply on the employer's site (bmo.wd3.myworkdayjobs.com).

Imported listing (source: bmo.wd3.myworkdayjobs.com) · Apply on bmo.wd3.myworkdayjobs.com

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320CANAL · US

$120K–$250K

Full-time

SENIOR

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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from bmo.wd3.myworkdayjobs.com

BMO is hiring a Senior AI Engineer to design, build, and run production-grade AI solutions across Finance on the bank's enterprise AI platform. You will own solutions end to end, from React/TypeScript front ends and Python/FastAPI backends to agentic LLM workflows, RAG retrieval, and evaluation and monitoring. The role sits within the Finance AI Governance Program, so work must be safe, auditable, and defensible under regulatory review. You will partner with FP&A, Controllership, Treasury, and Finance Operations leaders on use cases like variance analysis, reconciliations, close acceleration, and treasury forecasting.

Responsibilities

Design, build, and deploy end-to-end AI applications spanning React/TypeScript front ends, Python/FastAPI services, and Finance data integrations
Build multi-step agentic workflows with tool/function calling, MCP integrations, and orchestration frameworks
Design RAG pipelines over Finance policies, documents, and structured data, including chunking, embeddings, and vector search
Build evaluation harnesses with golden datasets to measure accuracy, groundedness, and regression across model and prompt changes
Instrument tracing, usage, cost, and drift monitoring and resolve production issues
Complete governance documentation, testing evidence, and Ongoing Monitoring Plans under the Finance AI Governance Program
Mentor analysts and junior engineers, review code, and set engineering standards

Requirements

7+ years of professional software engineering experience, including 2+ years deploying LLM or generative AI applications to production
Expert Python plus proficiency in a modern front-end framework (React/TypeScript preferred)
Strong API design, SQL, and data modeling skills
Hands-on experience with agent orchestration frameworks (LangGraph, Semantic Kernel, AutoGen, or equivalent)
Experience with RAG architectures, vector databases, and prompt/context engineering
Experience with cloud AI services (Azure OpenAI / Azure AI Foundry and/or AWS Bedrock), containers, CI/CD, and observability tooling
Proven ability to evaluate non-deterministic systems and build automated test and evaluation pipelines
Experience in a regulated environment with auditability, explainability, security, and data privacy
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience

Nice to Have

Finance domain knowledge: financial close, reconciliations, FP&A, treasury, liquidity, or IRRBB
Familiarity with model risk management guidance (OSFI E-23, SR 11-7)
Experience with Databricks, Snowflake, or Power BI, and Finance systems such as Oracle or Hyperion
Experience building MCP servers or enterprise tool integrations for agents
Experience using AI-assisted development tools (e.g., GitHub Copilot) in a governed workflow
Bilingual English/French

Benefits

Health insuranceretirement savingstuition reimbursementlife insurance

Tech Stack

AutoGenAWS BedrockAzure AI FoundryAzure OpenAICI/CDDatabricksFastAPIGitHub CopilotLangGraphMCPPower BIPythonRAGReactSemantic KernelSnowflakeSQLTypeScriptVector Databases

BMO Bank N.A.

Chicago · US · 14295+ employees

BMO Bank N.A. (BMO Bank National Association) is a national bank headquartered in Chicago, Illinois, and a wholly owned, indirect subsidiary of Bank of Montreal (BMO Financial Group), a leading Canadian financial services provider. Established in 1882 and owned by BMO since 1984, it is a top 10 U.S. bank by assets, serving more than 4 million clients across the United States with a fully integrated suite of personal and commercial banking, wealth management, global markets, and investment banking products and services.