AI Agent Systems Engineer (Hybrid; Chicago/NJ)

BMO U.S.; Chicago (IL); Hybrid; USD 81,000 - 152,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

We are hiring an AI Developer at BMO Financial Group to advance agentic systems by integrating large language models and orchestrating enterprise-grade AI agents. The role combines hands-on software development with leadership in design choices, ensuring scalable, secure, and responsible AI solutions for BMO’s digital-first strategy.

You will co-create foundational patterns for agent ecosystems, build the orchestration layer, and deliver solutions with strong observability and governance

Qualifications

• 6-7 years of AI software development experience, with at least 2 years in AI agent/multi-agent development.
• Hands-on experience across Microsoft Azure services (designing, deploying, and operating cloud-native systems). Certifications in Azure AI Engineer, python is a plus.
• Strong background in AI agent ecosystems (multi-agent patterns, orchestration concepts, agent registries, tool routing, memory/state, evaluation approaches).
• Demonstrated ability to implement monitoring/observability for AI/agent solutions (logging, tracing, metrics, and operational alerting).
• Proven delivery on multiple AI initiatives - comfortable shaping ambiguity into the right questions, crisp requirements, and practical design.

Responsibilities

• Design Agents and implement an agent orchestration layer (routing, tool-calling patterns, workflow coordination, agent registry integration, state management, and failure/fallback strategies).
• Define and apply enterprise agent patterns (standard agent templates, reusable components, and orchestration controls).
• Establish observability/monitoring for agents and orchestrations: logging, tracing, drift detection signals, agent-specific metrics, and operational dashboards.
• Integrate Microsoft Azure services and Microsoft ecosystem components (with emphasis on Azure AI capabilities and Foundry experience where applicable).
• Partner with leadership to clarify expected outcomes/vision and translate them into an executable build plan, architecture decisions, and delivery milestones.
• Operate and support production grade AI solutions to meet availability, reliability, and performance expectation.
• Perform routine model, prompt, and configuration updates within approved change processes.
• Embed Applied AI Evals considerations into the platform: governance hooks, auditability, risk controls, and operational readiness for agents.

Skills

AI software development

AI agent development

Python

Azure cloud

System design

Leadership

Tools

Azure services

Monitoring/observability

Agent orchestration

LLM integration

Job description

We are hiring an AI Developer at BMO Financial Group to advance agentic systems by integrating large language models and orchestrating enterprise-grade AI agents. The role combines hands-on software development with leadership in design choices, ensuring scalable, secure, and responsible AI solutions for BMO’s digital-first strategy.

You will co-create foundational patterns for agent ecosystems, build the orchestration layer, and deliver solutions with strong observability and governance