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

Perks

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.

Equal Prospect Employer
BMO is committed to an inclusive, equitable and accessible workplace. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

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📌 Tech Lead, AI Engineering (Ontario)
🏢 BMO
📍 Ontario