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Added 6 mins ago
SD
Senior Director, Pharmacy Experience and Transformation
Shoppers Drug Mart
Toronto, ON
- Full-time
…pharmacy workflows, team member experience and operational…
Added 7 mins ago
W
Senior / Staff Software Engineer, Motion Planning
Waabi
Toronto, ON
- $158,000 to $269,000 USD / year
- Full-time
…this role, including equity incentive awards and an annual performance…
Added 7 mins ago
MT
Senior Azure engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
Vacancy Name Senior Azure engineer Vacancy No VN878 Function Syn - Delivery & Operations Work Location Isle of Man or United Kingdom Basis Permanent Full Time/Part Time Full time Employment…
Added 7 mins ago
MT
Senior Infrastructure Engineer (Linux & Cloud Automation)
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
Job Details: Senior Infrastructure Engineer (Linux & Cloud Automation)
Added 7 mins ago
MT
Infrastructure Engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
Vacancy Name Infrastructure Engineer Vacancy No VN968 Function Syn - Delivery & Operations Work Location One St Peter's Square, Manchester, M2 3DE Basis Permanent Full Time/Part Time Full…
Added 22 mins ago
DM
Chief Mine Engineer
Discovery Mining Ltd
South Porcupine, ON
- Full-time
The Chief Engineer leads a multi-disciplinary team of technical staff at our Surface operation
Added 22 mins ago
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Intermediate Controls Engineer
Worley
Calgary, AB
- Full-time
We are seeking an Instrumentation & Controls Engineer to join our Consulting team in Edmonton or Calgary, Alberta, Canada, or Houston, Texas. This position is ideal for an engineer with 3-8…
Added 22 mins ago
C
Manager Signals and Communication Operations
CPKC
Medicine Hat, AB
- Full-time
As a Manager, Signals & Communications Operations, you’ll lead field teams supporting the safety, reliability, and performance of critical rail systems across Eastern Ontario. In this…
Added 22 mins ago
AS
Design Engineering Manager, Integrated Automation & Control Solution
Arrow Speed Controls
Richmond, BC
- Full-time
…date, we are a trusted partner across the heavy industries. We engineer and assemble speed control equipment for a wide range of electric motor applications. In addition to VFD's, we also…
Added 22 mins ago
AI
Production Supervisor
Aversan Inc.
Montreal, QC
- Full-time
…Engineers, and Technologists, distributing resources, managing performance, and fostering innovation. An ideal candidate brings a minimum of 5 years of relevant experience, including…
Added 39 mins ago
GI
Field Engineer
Green Infrastructure Partners
Markham, ON · Commerce Valley Dr W, Markham, ON
- Full-time
Added 48 mins ago
C
Trainmaster
CPKC
Toronto, ON
- Full-time
…(CROR) for Canada, General Code Operating Rules (GCOR) for U.S., Engineer, etc.) as per industry…
Added 48 mins ago
C
Manager Operating Practices
CPKC
Calgary, AB
- Full-time
…enhance safety, reduce operational risk, and support business performance. Working closely with senior leaders and cross-functional partners, the Manager Operating Practices has a direct…
Added 48 mins ago
R
P&C Specialist Commissioning Engineer
Raise
Burnaby, BC
- $131,000 to $150,000 CAD / year
- Full-time
Protection & Control (P&C) Specialist Commissioning Engineer
Added 48 mins ago
C
Roadmaster
CPKC
Saskatoon, SK
- Full-time
Mentor and provide technical guidance to craft employees, supporting their skill advancement and strengthening overall team performance
Added 49 mins ago
S
Product Development Engineer
Septodont
Bromont, QC
- Full-time
The company has an opening at its Design & Development Center located in Bromont, Quebec for a Product Development Engineer.
Added 49 mins ago
S
Maintenance Manager
Septodont
Cambridge, ON
- Full-time
…of our development, convinced that they enhance collective performance and foster human…
Added 49 mins ago
S
Process Specialist II /Engineer II
Septodont
Cambridge, ON
- Full-time
…of our development, convinced that they enhance collective performance and foster human…
Added 49 mins ago
OC
Lead Engineer, Programs/Projects (Wastewater)
Ontario Clean Water Agency
Mississauga, ON · OCWA - Corporate Office
- Full-time
Lead and/or conduct comprehensive performance evaluations, assessments and operational analyses regarding the design and capacity of wastewater plants providing technical guidance, support…
Added 49 mins ago
JL
Account Manager
JENNIFER L. MENNICKE ANDERSON
Vancouver, BC
- Full-time
Apply your skills as a Mining Engineer or Geologist in a unique way
Added 1 hour ago
W
Principal Instrumentation Engineer
Worley
Calgary, AB · Edmonton, AB · Vancouver, BC
- Full-time
The Lead Instrumentation & Controls Engineer provides technical leadership and project delivery oversight for instrumentation and control (I&C) engineering services in support of Worley and…
Added 1 hour ago
W
Senior Civil Engineer
Worley
Vancouver, BC
- Full-time
We are currently recruiting for a Senior Arctic Civil/Roads Engineer for transportation infrastructure in the Arctic and remote environments. The role provides technical leadership for the…
Added 1 hour ago
E
Professionnel des services
Ericsson
Montreal, QC
- Full-time
We are looking for a skilled and collaborative Transport & IP Support Engineer to join our team in Montreal. In this role, you will provide technical support and resolution for…
Added 1 hour ago
EC
Lead Radio Frequency Engineer
Eaton Corporation
Port Coquitlam, BC
- Full-time
Eaton’s Mobility Group is currently seeking a Lead Radio Frequency Engineer to join our team. This position is based at our Port Coquitlam, BC facility and offers benefits from day one.
Added 1 hour ago
Project Planner
Alstom
Saint-Bruno, QC
As a Project Planner, you play a pivotal role in managing schedules and project performance. Your expertise in planning, analysis, and steering complex schedules enables you to ensure…

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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