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Jobs in Canada

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Added 28 mins ago
PC
Risk Modelling Services, Actuarial P&C Director (Bilingual FR/EN)
PwC Canada
Toronto, ON
- Full-time
Added 28 mins ago
J
Machine Learning Engineer Intern
Jobright.ai
Canada
- Internship
Jobright is a personal AI job search agent that simplifies the job search process and helps users reach better job outcomes. The Machine Learning Engineer Intern will develop and evaluate…
Added 43 mins ago
A
Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…libraries or AltaForge - supporting the AltaForge Clients and Same-Agent-Across-Clients north…
Added 43 mins ago
NC
AI Software Developer
Newfoundland Capital Corporation Limited
Montreal, QC
- Full-time
We are currently looking for an AI Software Developer to join our AI team. This position reports to the AI Adoption Leader.
Added 43 mins ago
NC
Lifecycle & Marketing Automation Specialist
Newfoundland Capital Corporation Limited
Montreal, QC
- Full-time
Bring a genuine curiosity for AI and automation. Dig into our internal tools and agent capabilities to find real opportunities for smarter, more personalized customer journeys.
Added 1 hour ago
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Principal Product Manager - Identity Threat Detection and Response
Elastic
Canada
- Full-time
…You will also own the roadmap for securing non-human and AI agent identities within Elastic Security, one of the fastest-growing and least-governed attack surfaces in the enterprise. You…
Added 3 hours ago
H
Strategy & Ops Lead at a Union Square Ventures-Backed Sports Collectibles Startup
Harper
Toronto, ON
- Full-time
The client is hiring for this role, and Harper, an AI career agent, is on your side of the table. Skip the application form: just talk to Harper, and in a few minutes it learns your…
Added 3 hours ago
J
Customer Success Specialist, Entry Level
Jobright.ai
Canada
- Full-time
Jobright is an AI-powered job search agent that simplifies the job search process and helps users achieve better job outcomes. The Customer Success Specialist helps customers adopt the…
Added 3 hours ago
B&
Lead, AI Engineering
Bain & Company
Zurich, ON
- Full-time
Contribute to the design, development, and deployment of end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
Added 4 hours ago
M
Dynamics 365 CRM Solution Engineer
Microsoft
Toronto, ON · Ottawa, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
- Full-time
…Center, Dynamics 365 Field Service, Copilot Studio, and AI Agent solutions. You will proactively collaborate with partners early in the sales cycle to accelerate customer…
Added 4 hours ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 4 hours ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 4 hours ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 4 hours ago
EG
Senior Programmer, AI and Creation Tools
Epic Games
Vancouver, BC · Greater Vancouver, BC
- Full-time
Create new tools at the intersection of user-driven and agent-driven content creation
Added 5 hours ago
J
Full Stack Software Engineer, New Grad
Jobright.ai
Canada
- Full-time
Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step…
Added 5 hours ago
S
AI-Native Mobile QA Engineer
Snaplii
Toronto, ON · Etobicoke, ON
- $60,000 to $90,000 CAD / year
- Full-time
Turn bugs into reports a developer can fix without asking you anything else, and follow each one until it is closed.
Added 6 hours ago
AM
AI Fleet Management Solutions
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Leverage AI to enhance developer and organizational productivity and solution capabilities
Added 7 hours ago
RT
Executive Operations Coordinator
RZOLV Technologies Inc.
Vancouver, BC
- Full-time
Assist with coordination involving legal counsel, the transfer agent, investor relations providers and other external advisors.
Added 7 hours ago
J
QA Engineer (Early Career) (Canada)
Jobright.ai
Canada
- Full-time
Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step…
Added 8 hours ago
Développeur.se de logiciels sénior.e - Flux de travaux agentifs / Senior Software Developer - Agentic Workflows
Electronic Arts
Montreal, QC · Vancouver, BC
As a Senior Software Developer, you will help build the agentic harness that turns intent into working games and the loop that lets an agent write, run, evaluate, and repair its own work.
Added 8 hours ago
Développeur.se de logiciels - Flux de travaux agentifs / Software Developer - Agentic Workflows
Electronic Arts
Montreal, QC · Vancouver, BC
As a Software Developer, you will help build the agentic harness that turns intent into working games and the loop that lets an agent write, run, evaluate, and repair its own work.
Added 8 hours ago
Canada Tax Technology Group (CTTG) - Manager, AI Adoption & Enablement
EY
Toronto, ON
…platforms such as Microsoft Copilot, Power Platform, and AI agent…
Added 8 hours ago
D
Principal Product Manager, Sandboxes
Docker
Remote, Canada
- Full-time
- Remote
To thrive in this role, you will need experience working with developers, deep technical fluency in systems and developer infrastructure, and prior experience as a software engineer. You…
Added 8 hours ago
P
Sr. Fuil Stack Engineer, Threat Intelligence
Proofpoint
ON · Ontario, Canada
- Full-time
Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the…
Added 8 hours ago
IW
AI Development & Continuous Improvement Student (Summer 2027)
Irving Woodlands
Saint John, NB
- Full-time
Assist with the development, testing, and deployment of AI-enabled workflows, copilots, and agent-based solutions

Bain & Company

Lead, AI Engineering

Zurich, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 4, 2026
Posting language: English
Posted: Oct 5, 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 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 Engineer in AIS, you will build the technical core of 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 Lead AI Engineer will design, build, and ship generative AI systems and agentic solutions for Bain’s clients. You will contribute across the full development lifecycle - from early experimentation and prototyping through to production deployment - collaborating closely with senior engineers, product managers, and data scientists. This is a hands-on individual contributor role with growing influence on technical direction and an opportunity to begin mentoring more junior team members.

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 by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time.

What You’ll Do

Contribute to the design, development, and deployment of end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
Build and iterate on multi-component AI pipelines, including:

Retrieval-Augmented Generation (RAG)
Fine-tuning and parameter-efficient tuning
Embedding generation and optimization
Hybrid retrieval strategies (vector, graph, keyword)

Implement reasoning, tool use, function calling, and orchestration across AI workflows
Build and contribute to agentic systems, applying sound engineering principles around separation of concerns, memory architecture, and tool integration
Contribute across the full stack: model experimentation, evaluation design, and production system deployment
Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliability
Support and help build 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
Contribute technical insights and communicate findings clearly to cross-functional stakeholders and, where relevant, clients
Share knowledge with peers and support a culture of technical learning around RAG, agents, prompt engineering, and AI safety

What We’re Looking For

3–5+ years in software engineering, ML engineering, or applied AI roles with hands-on building responsibilities
German language proficiency at C1 level or higher
Demonstrated experience shipping generative AI features or systems end-to-end, from prototyping through production
Clear communication skills with the ability to explain technical concepts to non-technical collaborators and stakeholders
Demonstrated ability to collaborate effectively across engineering, product, and data science teams; some experience supporting or informally mentoring peers is a plus
Solid prompt engineering and context engineering skills; familiarity with conversation design principles
Working knowledge of evaluation design, experimentation frameworks, and data labelling strategies for LLM applications
Experience with:

RAG architectures (vector-based retrieval; exposure to hybrid or graph-based approaches is a plus)
Agentic patterns (tool use, routing, memory management; multi-agent systems experience is a plus)
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
Familiarity with cost and latency tradeoffs when working with LLM workloads
Comfort operating in high-ambiguity environments with collaborative cross-functional teams
Eagerness to grow into a technical leadership role and support junior team members
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.

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More about this job

Responsibilities

Design, build, evaluate, and deploy production-grade generative AI systems, including RAG pipelines, multi-agent workflows, APIs, and cloud-native services. Improve system reliability, safety, performance, and cost while collaborating with cross-functional teams and supporting technical learning and junior colleagues.

Requirements

Candidates need 3–5+ years of hands-on software engineering, machine learning engineering, or applied AI experience, German proficiency at C1 level or higher, and experience shipping generative AI systems from prototype to production. They should have knowledge of RAG, agentic patterns, evaluation methods, production system design, and LLM cost and latency tradeoffs; client-facing experience and peer mentoring are advantages.

Skills

Generative AI Engineering
Retrieval-Augmented Generation
Agentic Systems
Prompt Engineering
Context Engineering
AI Evaluation
Machine Learning
System Design
API Development
Microservices
CI/CD
Cloud-Native Deployment
GenAIOps
Responsible AI
German Language Proficiency

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Retrieval-Augmented Generation
Fine-Tuning
Parameter-Efficient Tuning
Embedding Generation
Hybrid Retrieval
Vector Databases
Graph Databases
Keyword Search
Multi-Agent Workflows
Agentic Systems
Tool Use
Function Calling
Orchestration
ReAct
RLAIF
Human-in-the-Loop
Prompt Engineering
Context Engineering
Conversation Design
Evaluation Frameworks
Data Labeling
GenAIOps
CI/CD
APIs
Microservices
Cloud-Native Deployment
Observability
Responsible AI
Model Monitoring

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