Bank of Montreal

Software Developer (AI Agents)

Bank of Montreal$81K — $151K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6-7 years in AI software development, 2 years in multi-agent systems.
  • Hands-on experience with Microsoft Azure cloud services.
  • Strong understanding of AI agent ecosystems and orchestration.
  • Ability to implement observability and monitoring for AI solutions.
  • Experience delivering multiple AI initiatives in complex environments.
  • Preferred background in financial services or wealth management.

Responsibilities

  • Drive the development of enterprise-grade AI agents and orchestration layers.
  • Balance hands-on engineering with strategic product guidance.
  • Create foundational patterns for scalable agent development.
  • Design agents and implement orchestration layer functionalities using Python.
  • Establish observability and monitoring for AI agents and workflows.
  • Integrate Microsoft Azure services into AI solutions.
  • Support and operate production-grade AI systems to ensure performance standards.

Benefits

  • Health insurance offerings for employees.
  • Tuition reimbursement for continued education.
  • Accident and life insurance coverage.
  • Retirement savings plans available for long-term financial security.
  • Performance-based incentives and discretionary bonuses.
Full Job Description
Application Deadline:

06/29/2026

Address:
320 S Canal Street

Job Family Group:
Technology

MUST HAVE experience coding multi-agent AI assets, hands on software development with a passion for AI Agents. The role is Hybrid ONLY working 2 days / week in office (Chicago or New Jersey only).

About the Role

As an AI Developer, you will contribute to a multi-year initiative dedicated to advancing our digital-first, AI-powered business for enhanced value and future readiness. In this pivotal role, you will help shape and deliver agentic systems by integrating Large Language Models (LLMs) to orchestrate and automate business workflows, driving operational efficiency and optimizing user experiences. You will be hands-on in solution design, demonstrate engineering excellence, and provide technical leadership across high-impact capabilities, ensuring robust and scalable AI solutions for our organization.

Role Summary
  • Drive the development of the "Agent Ecosystem" by designing, building, and operationalizing enterprise-grade AI agents and the orchestration layer that seamlessly coordinates their interactions.
  • Serve as a player-coach, balancing hands-on engineering, building agent prototypes and platform components, with strategic guidance, including shaping product direction, advising on implementation best practices, and fostering a culture of technical excellence.
  • Initially focus on creating foundational patterns and frameworks that can be leveraged across the broader agent development landscape, enabling scalability and reusability.


Key Responsibilities
  • Design Agents and implement an agent orchestration layer (routing, tool-calling patterns, workflow coordination, agent registry integration, state management, and failure/fallback strategies) by leveraging your software development super-powers (Python)
  • 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.


Required 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.
  • Financial services or wealth management experience preferred.


Salary:

$81,400.00 - $151,800.00

Pay Type:
Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Bank of Montreal

The Bank of Montreal is a Canadian multinational investment bank and financial services company. It provides a wide range of personal and commercial banking, wealth management, and investment banking products and services. The bank had revenues of CAD 23.6 billion in 2020.
Learn more about Bank of Montreal
Size
45,454 employees
Market Cap
$60.9 billion
Industry
Founded
1817
5 Year Trend
+9.1%
NASDAQ

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