Application Deadline:

07/30/2026

Address:
33 Dundas Street West

Job Family Group:

Technology

Please note this role is HYBRID (2-3 days/week in the office)

Develops scalable, secure, and intelligent cloud-based AI applications with a focus on Agentic AI systems, Retrieval-Augmented Generation (RAG), and enterprise LLM integration. Leads the design, development, enhancement, testing, debugging, and maintenance of AI-driven cloud applications, and enables the transformation of business processes through AI automation and intelligent decisioning.

Applies deep expertise in cloud-native AI architectures, large language models, vector databases, and modern development frameworks to deliver enterprise-grade solutions in an Azure environment. This role combines strong hands-on technical capability with leadership to drive innovation and ensure alignment with financial industry standards, risk frameworks, and regulatory requirements.

Roles and Responsibilities

• Designs, develops, and maintains AI-driven cloud applications using Python and modern AI frameworks
• Leads the implementation of Agentic AI systems, including multi-agent orchestration and autonomous workflows
• Builds and optimizes RAG pipelines, including embeddings, vector databases, and retrieval strategies
• Integrates data from multiple sources (structured and unstructured) while addressing security, compatibility, and governance risks
• Maintains AI applications and infrastructure to ensure scalability, performance, and reliability
• Develops and applies Context engineering and Prompt engineering strategies, evaluation frameworks, and model optimization techniques (e.g., fine-tuning, LoRA, embeddings)
• Establishes CI/CD pipelines, development environments, and MLOps/LLMOps practices to support AI solution delivery
• Creates technical documentation, development standards, and operational procedures
• Translates business requirements into AI-enabled technical solutions, collaborating with stakeholders across business and technology teams
• Provides technical leadership, mentorship, and delivery guidance to engineering teams
• Serves as a specialist resource to senior leaders and stakeholders, works independently and leads delivery across complex, non-routine initiatives
• Supports enterprise AI strategy and contributes to broader innovation and transformation initiatives
• Applies strong judgment to identify and resolve complex technical issues, including LLM performance, scalability, guardrails (RAI/RAIOps), and integration challenges
• Ensures alignment with BMO's Risk Management Framework, including responsible AI usage, data privacy, and regulatory compliance

Qualifications:

Experience & Education

• University degree in Computer Science, Engineering
• 8+ years of experience in software engineering, cloud platforms and distributed systems
• 2+ years of AI/ML engineering experience, with strong recent hands-on experience in LLMs and generative AI (e.g., RAG, agentic AI, prompt/context engineering)

Technical Expertise

• Advanced proficiency in:
  • Python / NodeJS / Java and AI/LLM frameworks (e.g., Semantic Kernel / MAF, LangChain, LlamaIndex, FastAPI)
  • Cloud platforms (Azure preferred; AWS acceptable), CDKTF
  • API development, microservices, and distributed systems
  • Agentic AI frameworks and architectures
  • RAG design patterns and vector databases

• Strong understanding of:
  • LLM fundamentals (transformers, embeddings, tokenization)
  • Model evaluation, performance monitoring, observability, and AI guardrails (Responsible AI / RAIOps)
  • Cloud security, data privacy, AI governance, and compliance frameworks

Core Capabilities

• Strong leadership and mentoring skills
• Proven ability to lead large-scale, complex technical initiatives end-to-end
• Delivery leadership mindset with strong execution and ownership
• Excellent problem-solving and analytical skills
• Strong communication and stakeholder management skills
• Deep understanding of SDLC, cloud architecture, and enterprise application development

Nice to Have

• Experience in financial services / banking / wealth management
• Experience leading enterprise-scale AI transformation initiatives
• Relevant certifications:
  • Microsoft Azure AI Engineer / Solutions Architect
  • AWS Machine Learning / Solutions Architect

Salary:

$75,900.00 - $141,900.00

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