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Added 7 mins ago
PT
Account Executive
Paladin Technologies
Toronto, ON
- Full-time
…knowledge of the market and contacts within the industry will lead to success. Your business acumen and ability to communicate with stakeholders and effectively identify opportunities will…
Added 7 mins ago
CC
Global Account Manager
Cogent Communications
Toronto, ON · North York, ON
- Full-time
Added 7 mins ago
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Senior Talent Acquisition Partner
WildBrain
Vancouver, BC
- Contract
Lead full-cycle recruitment, focusing primarily on our animated feature. This role will own the process from intake, screening, and sourcing through interviews, references, offer…
Added 7 mins ago
TC
Retail Visual Merchandise Coordinator Full Time Winners – Queen and Portland
TJX Canada – Winners, Marshalls, HomeSense
Toronto, ON
- Full-time
We’re looking for a Retail Store Coordinator to join our team in a welcoming environment. In this role, you’ll lead and inspire to deliver outstanding customer experiences. If you thrive in…
Added 7 mins ago
GC
Supervisor, Mine OperationsNew
Glencore Canada
Elkford, BC
- Full-time
Lead and empower employees in achieving operating targets and improve employee work performance and efficiency through mentorship, feedback and achieving safe operating targets
Added 7 mins ago
GC
Department Manager – Garden Supplies - Burnaby-Lougheed
GARDENWORKS Canada
Lougheed, AB
- Full-time
Lead and execute product flow processes including receiving, pricing, preparing product for the sales floor, and merchandising displays.
Added 8 mins ago
H
Manager-Unit Support
HealthCareersInSask.ca
Prince Albert, SK
- Full-time
Added 8 mins ago
Events Assistant
Health Sciences North
Sudbury, ON
While the Manager will lead sponsorship strategy, solicitation and relationship development, the Coordinator will provide important support by:
Added 8 mins ago
S
Operations Lead - Full Time
Sephora
Lethbridge, AB
- $20 to $23.55 CAD / hour
- Full-time
As Team Lead, Operations, you will be supporting all Operations related aspects of a specific Sephora store location. This includes direct management of all members of the Operations team.…
Added 8 mins ago
DN
Home child care provider
Dev Nanda
Edmonton, AB
- From $20 CAD / hour
- Full-time
- On-site
Added 22 mins ago
PV
Hospital Administrator
P3 Veterinary Partners
Timmins, ON
- Full-time
Lead the continuous improvement of the quality of customer service and medical care
Added 22 mins ago
WW
Oil/LNG Tanker Chartering Broker
World Wide Shipping
North Vancouver, BC
- Full-time
This is an opportunity for an experienced tanker professional to build and lead the tanker brokerage desk within World Wide Shipping. The successful candidate will have the autonomy to…
Added 22 mins ago
G
Operations/Construction Manager 1
Ganotec
Oakville, ON
- Full-time
…highest standards of safety and operational excellence. They lead cross-disciplinary teams, foster strong stakeholder partnerships, and drive strategic decision-making to support Ganotec's…
Added 22 mins ago
TM
Senior Content Marketing Specialist
Trudell Medical International
London, ON
- Full-time
Purpose: Lead the creation, management, and optimization of compelling content across distributors and TMI managed channels to drive brand awareness, engage target audiences, secure…
Added 22 mins ago
SM
Manager, Finance, Performance & Analytics
Stevenson Memorial Hospital
Alliston, ON
- Full-time
Lead the annual operating and capital budgeting processes, forecasting activities, and long-range financial planning.
Added 22 mins ago
J
Manager, Operations Strategy & Insights
Jobgether
Canada
- Full-time
…across Operations, Finance, IT, HR, and field teams, you will lead projects from initial analysis and problem definition through implementation and performance measurement. Your work will…
Added 22 mins ago
HG
Scrum Master - Intermediate
HireRightt Global
Toronto, ON
- Full-time
Proven ability to lead teams, resolve conflicts, and ensure productivity in an agile environment.
Added 23 mins ago
HB
Assistant Manager - BOSS Store, Fairview
HUGO BOSS Canada, Inc.
Toronto, ON
- Other
Lead the team to achieve positive results by supporting top line sales, profit and loss management and inventory control.
Added 23 mins ago
HB
Assistant Manager - BOSS Store, West Edmonton Mall
HUGO BOSS Retail, Inc.
Edmonton, AB
- Other
Lead the team to achieve positive results by supporting top line sales, profit and loss management and inventory control.
Added 31 mins ago
PH
Child caregiver - private home
PRIVATE HOME OF THE KUMAR FAMILY
Mississauga, ON
- From $20.85 CAD / hour
- Full-time
- On-site
Added 36 mins ago
GÉ
Child care worker assistant
garderie éducative les papillons de joliette inc
Joliette, QC
- From $18 CAD / hour
- Full-time
- On-site
Lead activities by telling or reading stories, teaching songs and taking children to local points of interest
Added 37 mins ago
FE
Campus Float Educator - Centennial
FB Education Services
Calgary, AB
- Full-time
Unlike a traditional classroom position, this role is not assigned to one specific homeroom. You will work closely with Lead Teachers, Group Teachers, and the Campus Director to provide…
Added 37 mins ago
A
Senior Sales Representative, HRO, Human Resources Outsourcing, Mid-Market Accounts
ADP
Burnaby, BC
- $97,500 to $147,500 CAD / year
- Other
Trusted Advisor – You lead with integrity and consistently deliver on commitments
Added 37 mins ago
AU
Operations Manager – Pharma
Allied Universal
Toronto, ON · North York, ON
- $79,500 to $81,000 CAD / year
- Full-time
Allied Universal®, a global leader in Security Services, is seeking an experienced Operations Manager to lead and oversee security operations within a highly regulated pharma environment…
Added 38 mins ago
C
Director of Quality
Catalent
Strathroy-Caradoc, ON · Strathroy, Ontario
- Full-time
Lead and facilitate the implementation and ongoing management and improvement of the Quality Management System.

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

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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