Find work in Canada.

624,568 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
U
AI/ Prompt Developer
UST
Montreal, QC
- Full-time
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI.
Added 1 month ago
E
Services Professional (Early Career)
Ericsson
Toronto, ON
- Full-time
Develop AI-assisted software development and testing automation
Added 1 month ago
Q
Architect - Machine Learning
Quantiphi
Canada
- Full-time
8+ years of experience in Machine Learning, AI, Software Engineering, Data Science, or Solution Architecture.
Added 1 month ago
CC
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
- Full-time
This is a critical role for a Machine Learning Engineer who will be a key part of our AI development team. You will take ownership of key components of machine learning systems, driving the…
Added 1 month ago
JG
Gen AI Developer
J&M Group
Halifax, NS
- Full-time
Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
Added 2 months ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Added 1 month ago
UT
Automation Engineer 4- #26-23046
US Tech Solutions
Markham, ON
- $65 to $70 CAD / hour
- Contract
…showcase successes as well as facilitate continuous career…
Added 1 month ago
S
Lead Data Scientist
Sigmoid
Canada
- Full-time
…ownership. The position emphasizes a mix of client advisory, model development, cross-functional collaboration, and measurable business…
Added 1 month ago
WA
STEM PhDs and Technical Domain Experts
Weekday AI
Remote, Canada
- Contract
- Remote
…and Data Science, AI / ML Research, Computer Science, Game Development or Mechanical / Aerospace…
Added 1 month ago
Lead Consultant, Gen AI
Lovelytics
Toronto, ON
…Agents, Retrieval-Augmented Generation (RAG), LLM application development, prompt engineering / DSPy, GenAI-driven automation, and advanced NLP. Our ideal candidate blends technical depth…
Added 2 months ago
FG
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
- Full-time
Added 1 month ago
PX
Staff Machine Learning Engineer – AI & Agentic Systems
Project X Ltd.
Toronto, ON
- Full-time
Advanced Python development with strong production software-engineering practices (testing, CI/CD, Git)
Added 1 month ago
A
Software Developer, Pipeline Integration
Autodesk
Toronto, ON · Montreal, QC · Vancouver, BC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
26WD100629, Software Developer, Pipeline Integration
Added 1 month ago
A
Machine Learning Developer
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched great science fiction films,…
Added 1 month ago
A
Forward Deployed Engineer
Arcadia
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
This is a hands-on engineering role combining software development, AI implementation, and direct collaboration with customers. You’ll own platform deployments end to end, build…
Added 1 month ago
PX
Staff Machine Learning Engineer – AI & Agentic Systems
Project X
Toronto, ON
- Full-time
Advanced Python development with strong production software-engineering practices (testing, CI/CD, Git)
Added 1 month ago
FE
Senior RPA Automation Engineer
Future Electronics
Kirkland, QC
- Full-time
…initiatives - from process discovery and solution design to development, deployment, monitoring, and ongoing…
Added 1 month ago
B
Staff/Principal Software Engineer (Strong AI/ML and Java exp)
Bevertec
Toronto, ON
- Contract
Job Role: Staff/Principal Software Engineer (Strong AI/ML and Java exp)
Added 1 month ago
Q
Conversational AI Architect
Quantiphi
Canada
- Full-time
● Software and Product Development on languages like NodeJs, Python etc.
Added 1 month ago
F
Salesforce Technical Business Analyst (Canada)
Flosum
Remote, Canada
- Remote
Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management.
Added 1 month ago
2027 Graduate Program, Enterprise Solutions - Advanced Technology
Bell
Montreal, QC
Complete rotations across areas such as AI/ML, Cloud, Business Intelligence, Software Development, Product Management, and related functions.
Added 1 month ago
B&
Expert Senior Manager, AI Engineering
Bain & Company
Zurich, ON
- Full-time
Oversee API development, microservices, CI/CD pipelines, observability, and cloud-native deployment
Added 1 month ago
VT
Senior AI Engineer
Vision Talent Co.
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
5+ years of experience in software engineering, machine learning, or AI solution development.
Added 1 month ago
V
AI/ML Engineer
Vanguard
Toronto, ON
- Full-time
…AI/ML solutions that drive business innovation and support the development, deployment, and operationalization of intelligent…
Added 1 month ago
Computer Vision Engineering
Geotab
Oakville, ON
…closely with Technical Leads, adjacent engineering teams, camera software engineers, platform developers, immediate team members, product managers, internal partners, and external…

Bain & Company

Expert Senior Manager, AI Engineering

Zurich, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Sep 14, 2026

Original job description

What Makes Us a Great Place To Work

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

About Bain AI, Insights & Solutions (AIS)

Bain’s AI, Insights & Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You’ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted.

The Impact You’ll Have

Bain works with clients on board-level and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes, and adoption at scale across the organization.

As an AI Engineering leader in AIS, you will support the building of the technical core within these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The result is measurable impact at the company or enterprise level and, in many cases, helps clients set new performance standards for their industries.

The Role

The Expert Senior Manager / Associate Partner AI Engineer will architect, build, and scale next-generation generative AI systems and agentic solutions for Bain’s clients. As a leader in the practice, you will sit at the intersection of advanced engineering, applied AI research, product strategy, and responsible AI governance. You will own the full lifecycle - from research and experimentation to production deployment and ongoing optimization - and guide teams across engineering, product, data science, ethics, and client stakeholders.

You will have opportunities to work with major AI ecosystem partners through Bain’s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings.

Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn while doing, with support from other experienced teammates, frequent feedback, and increasing responsibility over time.

What You’ll Do

Design, build, and deploy end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
Architect multi-component pipelines, including:
- Retrieval-Augmented Generation (RAG)
- Fine-tuning and parameter-efficient tuning
- Embedding generation and optimization
- Hybrid retrieval strategies (vector, graph, keyword)
Integrate reasoning, tool use, function calling, and orchestration across complex workflows
Engineer advanced agentic systems, ensuring clear separation of concerns, robust memory architecture, and scalable tool ecosystems
Lead everything from early-stage research, model experimentation, and evaluation design to production system deployment
Oversee API development, microservices, CI/CD pipelines, observability, and cloud-native deployment
Build scalable GenAIOps processes for automated testing, regression evaluation, latency monitoring, and continual improvement
Balance performance, safety, responsible AI principles, and cost across system design:
- Implement guardrails, fallbacks, red-teaming strategies, and human-in-the-loop (HITL) workflows
- Partner with global ethics teams to ensure alignment with Bain’s Responsible AI standards
Build automated evaluation suites integrating user signals, continual learning cycles, and ongoing model updates
Design and implement evaluation frameworks covering:
- Hallucination rate and factual consistency
- Relevance and precision/recall
- Latency, throughput, and system-level performance
- Cost tracking and efficiency
Partner closely with product, engineering, data science, ethics, and infrastructure teams to build robust, compliant AI systems
Act as a thought partner to executives and clients on AI strategy, architecture decisions, emerging capabilities, and implementation roadmaps
Mentor and upskill technical teams on best practices including RAG, agents, prompt engineering, and AI safety

What We’re Looking For

8–12+ years in software engineering, ML engineering, or applied AI roles with significant hands-on building responsibilities
German languate proficience at C1 level or higher
Demonstrated experience leading complex, multi-stack generative AI programs from conception through production
Strong executive communication skills with the ability to translate highly technical concepts to business stakeholders
Track record of leading engineering teams, mentoring technical talent, and collaborating with diverse cross-functional groups
Advanced prompt engineering, context engineering, and conversation design
Strong expertise in evaluation design, experimentation frameworks, and data labeling strategies for LLM apps
Deep experience with:
Advanced RAG architectures (vector, hybrid, graph-based retrieval)
Agentic architectures (multi-agent systems, tool selection, routing, memory, planning, reflection)
ReAct, RLAIF, and other HITL + feedback loops.
AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystems
Strong background in system design, architecture, and production-grade deployment
Deep familiarity with cost optimization and computational tradeoffs for LLM workloads
Comfort operating in high-ambiguity environments with collaborative cross-functional teams
Clear ability to lead, mentor, and inspire technical teams
Experience in client-facing consulting or enterprise transformation environments is a strong plus

Working Model & Travel

This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.
Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.

Apply About employer

More about this job

Responsibilities

Architect, build, and scale next-generation generative AI systems and agentic solutions for enterprise clients. Lead the full lifecycle from research and experimentation to production deployment and ongoing optimization.

Requirements

Requires 8-12+ years of experience in software or ML engineering with a proven track record of leading complex generative AI programs. Must have C1 level proficiency in German and strong executive communication skills.

Skills

Generative AI
AI Architecture
RAG
Agentic Systems
LLM Evaluation
Prompt Engineering
System Design
GenAIOps
CI/CD
Cloud-native Deployment
Responsible AI
Executive Communication
Technical Mentorship
Software Engineering
ML Engineering
German Proficiency

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
RAG
Multi-agent Workflows
Fine-tuning
Vector Databases
Graph Databases
ReAct
RLAIF
HITL
GenAIOps
Microservices
API Development
Observability
Responsible AI
Prompt Engineering
Context Engineering
Conversation Design
System Design
Enterprise Transformation
Consulting
AI Strategy
Model Experimentation
Red-teaming
Latency Monitoring
Computational Tradeoffs
Cloud-native
Software Engineering
ML Engineering
AI Governance

Report this job