Senior AI Engineer: Finance Platform & Responsible AI

BMO; Chicago (IL); On-site; USD 120,000 - 250,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

BMO Financial Group seeks a Senior AI Engineer to design, build, and operate production-grade AI solutions for Finance, with governance, safety, and regulatory readiness.

You will develop end-to-end AI applications using React/TypeScript front ends and Python/FastAPI backends, implement RAG pipelines, and integrate with enterprise data, while partnering with risk, finance, and technology teams to deliver scalable, auditable AI capabilities.

Qualifications

• 7+ years of professional software engineering experience, including 2+ years building and deploying LLM or generative AI applications to production.
• Expert Python, and 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, RAG architectures, and vector databases, including prompt and 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.
• Ability to communicate technical concepts clearly to non-technical Finance stakeholders and senior leaders.
• Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field, or equivalent experience.
• Finance domain knowledge including financial close, reconciliations, FP&A, treasury, liquidity, or IRRBB.
• Familiarity with model risk management guidance (e.g., OSFI E-23, SR 11-7).
• Experience with Databricks, Snowflake, or Power BI, and with 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) within a governed engineering workflow.
• Bilingual English/French is an asset.

Responsibilities

• Design, build, and deploy end-to-end AI applications, including web front ends using React/TypeScript, backend services and APIs using Python/FastAPI, and integrations with Finance data and systems.
• Convert Finance business problems into technical designs and make trade-offs across accuracy, latency, cost, and maintainability.
• Build multi-step agentic workflows using tool and function calling, MCP integrations, and orchestration frameworks.
• Implement retrieval-augmented generation (RAG) over Finance policies, documents, and structured data, including chunking, embeddings, vector search, and context engineering.
• Include human-in-the-loop controls for material judgments, approvals, and financial postings.
• Create evaluation harnesses using golden datasets to measure accuracy, consistency, groundedness, and regression across model and prompt changes.
• Document methodology, assumptions, and limitations, and define acceptance thresholds with business owners.
• Partner with Technology and AI Platform teams on CI/CD, security reviews, resilience, and support handover.
• Use shared enterprise platform services such as AI gateway, guardrails, registry, and observability rather than creating parallel tooling.
• Instrument tracing, usage, cost, and drift monitoring, and respond to and resolve production issues.
• Act as the AI Developer under the Risk and Finance AI Governance Program, including use case documentation, testing evidence, and Ongoing Monitoring Plans that address conditions from Second Line reviews.
• Apply data classification, access controls, PII protection, and lineage in line with the Data Risk Directive, RDARR principles, and model risk expectations.
• Run demos and pilots, gather feedback, and track adoption and value-realization metrics.
• Build reusable patterns, components, and templates to accelerate future Finance AI use cases.
• Review code, set engineering standards, and mentor analysts and junior engineers.

Skills

Python

React/TypeScript

API design

SQL/data modeling

Agent orchestration

LLM/GAN tech

Cloud AI services

CI/CD/Observability

Governance & Risk

Stakeholder communication

English/French

Education

Bachelor’s degree in CS/Engineering/Math

Tools

LangGraph

Semantic Kernel

AutoGen

Azure OpenAI

Job description

BMO Financial Group seeks a Senior AI Engineer to design, build, and operate production-grade AI solutions for Finance, with governance, safety, and regulatory readiness.

You will develop end-to-end AI applications using React/TypeScript front ends and Python/FastAPI backends, implement RAG pipelines, and integrate with enterprise data, while partnering with risk, finance, and technology teams to deliver scalable, auditable AI capabilities.