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Quality Lead
EllisDon
Fort Saskatchewan, AB
- Full-time
They value diversity and inclusion, understanding that different perspectives lead to innovation. We are committed to sustainable and equitable relationships with Indigenous communities,…
Added 1 min ago
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Software Development Manager (Calgary)
Clio
Calgary, AB
- Full-time
Our Development Managers are highly technical and hands on, often coding and implementing alongside their team. They create a safe and productive environment for all Clions. Every people…
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Director, Content Creation
CIBC
Toronto, ON
- Full-time
The Director, Content Design, AI & Innovation will lead a team of Senior Managers and Senior Learning Consultants within Learning & Development. You will set the strategic direction for…
Added 1 min ago
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Principal Data Analyst
Autodesk
Vancouver, BC · BC · Toronto, ON · ON · Montreal, QC · Quebec, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
…how success is measured, uncover high-value opportunities, lead rigorous experimentation, and build trusted analytical products and AI assisted workflows that turn complex data into better…
Added 15 mins ago
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Client Onboarding Specialist
iQmetrix
Regina, SK
- Full-time
Facilitating client onboarding. Lead clients through a structured onboarding plan. Guide enablement activities, run readiness checkpoints, and confirm required setup items are completed…
Added 15 mins ago
AC
Group Portfolio Lead
Aviva Canada
Markham, ON
- Full-time
The Group Portfolio Lead supports the management of group business within Personal Insurance, focusing on the intake and evaluation of new groups. This is key to delivering on our Group…
Added 15 mins ago
BV
Sr. Human Resources Business Partner
Bureau Veritas
Mississauga, ON
- Full-time
…to drive organizational growth, talent strategy, leadership development, and workforce…
Added 15 mins ago
R&
Principal Data Scientist, Agentic AI Technical Lead
Robots & Pencils
Canada
- Full-time
We're looking for a Principal Data Scientist to serve as the technical lead across an entire agentic AI program. This role is ideal for a deeply experienced data science and AI leader who…
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Customer Experience Leader
Indigo
Nelson, BC
- Part-time
Live and inspire Indigo's High Performance Characteristics and lead a Story Telling culture
Added 15 mins ago
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VP, Accounting & Controllership (Husky)
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
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Architecte Senior de Solutions (Expérience en Intelligence Artificielle)
Sopra Steria
Montreal, QC
- Full-time
Sopra Steria is a European leader in consulting, digital services, and software development, supporting its clients in their digital transformation through innovative and collaborative…
Added 17 mins ago
BI
Staff Machine Learning / Operations Research Engineer
Burq, Inc.
Remote, Canada
- Full-time
- Remote
Hardest problems: lead the most ambiguous, high-stakes modeling and optimization problems from framing through production, and guide technical work across Engineering and Data
Added 17 mins ago
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First Mile Transportation Manager - 12 Month Contract
The TJX Companies, Inc.
Mississauga, ON · CAN Home Office Mississauga ON
- $89,208 to $135,086.4 CAD / year
- Full-time
We’re looking for a First Mile Transportation Manager - 12 Month Contract to lead a critical national transportation network, overseeing 40,000-50,000 annual linehaul movements across…
Added 17 mins ago
Director, Procurement
Momentum Financial Services Group
Toronto, ON
The Job: Momentum Financial Services Group is seeking an experienced Director, Procurement to lead the execution and continued development of our enterprise procurement and vendor…
Added 17 mins ago
FC
Finance Manager
Fidelity Canada
Toronto, ON
- Full-time
Lead complex financial and economic analysis in support of strategic decision-making initiatives with limited direction. Deliver analysis to senior management acting in the capacity of a…
Added 17 mins ago
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Sr. Advisor Data Modernization
Enbridge
Calgary, AB
- Full-time
Lead the development and execution of the Liquids Pipelines Data Modernization roadmap, translating business strategy, operational needs, and stakeholder priorities into scalable data…
Added 17 mins ago
Director, MEP & Electrical Infrastructure, Bell AI Fabric
Bell
Calgary, AB
Lead planning and execution of major electrical infrastructure programs supporting large-scale AI and data centre operations.
Added 17 mins ago
Director, Engineering and Procurement, AI Fabric
Bell
Calgary, AB
Develop and execute procurement strategies for major capital equipment, engineering services, and long-lead infrastructure components required for AI data centre development.
Added 31 mins ago
Lead Software Engineer
Capgemini
Mississauga, ON
Works in the area of Software Engineering which encompasses the development maintenance and optimization of software solutions and applications.
Added 31 mins ago
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Marketing & Business Development Specialist (Marketing Department)
Fasken
AB · Calgary, AB
- Full-time
Marketing & Business Development Specialist (Marketing Department) – Calgary, AB
Added 31 mins ago
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Software Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Lead and contribute to end-to-end software development activities including:
Added 31 mins ago
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Principal AI Engineer, Agentic Models and Data Platforms
Royal Bank of Canada
Calgary, AB
- Full-time
The Principal position will be responsible for leading and delivering key AI/Agentic initiatives under the AI Reuse Development Portfolio. The ideal candidate would leverage their extensive…
Added 44 mins ago
AC
Property Field Claims Manager
Allstate Canada
ON · Ontario, Canada
- Full-time
…objectives through strong operational leadership, employee development, customer-focused claim handling, and continuous process…
Added 44 mins ago
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Sr. Advisor Data Modernization
Enbridge
Calgary, AB
- Full-time
Lead the development and execution of the Liquids Pipelines Data Modernization roadmap, translating business strategy, operational needs, and stakeholder priorities into scalable data…
Added 44 mins ago
IC
Corporate Category Planner (12-month Contract)
Irving Consumer Products
Dieppe, NB
- Full-time
Opportunities to take part in job related training and development

Bain & Company

Lead, AI Engineering

Zurich, ON, Canada

Full-time

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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

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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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