Tech Lead, AI Engineering

BMO•Toronto, ON

6d•CA$75,900 - CA$141,900•Hybrid

About The Position

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.

Requirements

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)
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
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 Haves

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

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