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Added 22 mins ago
AC
Software Engineer (.NET / C# and AI/IoT)
Artelia Canada
Montreal, QC
- Full-time
As a Software Engineer (.NET / C# and AI/IoT) within the Telecommunications team, you will:
Added 22 mins ago
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Senior Combat Systems Engineer/Specialist
BMT
Dartmouth, NS
- $105,000 to $150,000 CAD / year
- Full-time
Job Title: Senior Combat Systems Engineer/Specialist
Added 22 mins ago
TI
Sr. Analytics Developer
Techtronic Industries Canada Inc.
Toronto, ON
- Full-time
Collaborate with the Data Engineer to ensure seamless integration between pipelines and reports.
Added 24 mins ago
Field Sales Applications Engineer
Ametek, Inc.
Ottawa, ON
We are seeking a Sales Applications Engineer to support the growth of Pixelink's OEM camera business This role combines technical sales, applications engineering, and customer support. You…
Added 39 mins ago
Bilingual Data Engineer
CMHC - SCHL
Ottawa, ON · Montreal, QC
Join CMHC’s Information Technology team, in the Bilingual Data Engineer position. You will design, build and support reliable data pipelines and reusable data assets on Azure and…
Added 39 mins ago
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Technical Project Manager
Heidi
Remote, Canada
- $130,000 to $145,000 CAD / year
- Full-time
- Remote
…project plans in collaboration with Engineering and the Solutions Engineer, translating customer requirements and solution briefs into structured, executable delivery…
Added 54 mins ago
Aircraft Maintenance Engineer - Calgary
WestJet Group
Calgary, AB
Looking for the ideal aviation career? Join our highly skilled team as an Aircraft Maintenance Engineer and contribute to the safe and efficient daily maintenance on our fleet of aircraft-…
Added 54 mins ago
R
Full Stack Developer (Junior/Intermediate)
Reactiv
Toronto, ON
- Full-time
stack engineer in a collaborative, hybrid environment. You don't need to check every box
Added 1 hour ago
AI
Manufacturing Engineer
Apex Industries Inc.
Moncton, NB
- Full-time
The Manufacturing Engineer will play a key role in driving operational excellence, continuous improvement, automation, process development, and technology integration across the Aerospace…
Added 1 hour ago
AI
Manufacturing Engineer
Apex Industries
Moncton, NB
- Full-time
The Manufacturing Engineer will play a key role in driving operational excellence, continuous improvement, automation, process development, and technology integration across the Aerospace…
Added 1 hour ago
HR
Technical Specialist, Senior - Vital Software
Hitachi Rail
Toronto, ON
- Full-time
The Senior Software Technical Specialist leads the design, development, integration, and testing of complex operationally critical and safety-critical software systems within the railway…
Added 1 hour ago
BS
Senior Design Quality Engineer / Ingénieur principal en qualité de la conception
Boston Scientific
Montreal, QC
- Full-time
Serve as the technical authority within Quality for system integration, design decisions, risk management, and software development & validation.
Added 1 hour ago
BS
Senior Design Quality Engineer / Ingénieur principal en qualité de la conception
Boston Scientific
Montreal, QC
- Full-time
Serve as the technical authority within Quality for system integration, design decisions, risk management, and software development & validation.
Added 1 hour ago
LT
Automation Engineer
Lorven Technologies Inc.
Mississauga, ON
- Contract
Role: Senior QA Automation Engineer (Playwright)
Added 1 hour ago
AI
Senior QA
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for a Senior QA Engineer with strong experience in automation testing of mobile and web applications. The ideal candidate should have hands-on experience with Appium, mobile…
Added 1 hour ago
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Senior Data Engineer || Ottawa/Toronto
TestingXperts
Ottawa, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 1 hour ago
LT
Senior QA Automation Engineer (Playwright)
Lorven Technologies Inc.
Mississauga, ON
- Contract
We are looking for a Senior QA Automation Engineer with strong expertise in Playwright-based test automation and a solid background in manual testing. You will be responsible for ensuring…
Added 1 hour ago
Senior Software Engineer, Mortgage Engineering
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Software Engineer. Could It Be You?
Added 1 hour ago
MT
Physical Design Engineer
Mirafra Technologies
Canada
- Full-time
We are seeking a Physical Design Engineer with a strong foundation in Static Timing Analysis (STA) and a focus on design flow automation. In this role, you will be responsible for driving…
Added 1 hour ago
Y
Microsoft Fabric & Airflow Engineer
Yochana
Brampton, ON
- Contract
Position Name – Microsoft Fabric & Airflow Engineer
Added 2 hours ago
T
Software Engineer II (Java/Spring)
TD
Toronto, ON
- Full-time
Document and verify system components, applications, system infrastructure, security, integration, operability and engineering related architecture designs associated with a program or…
Added 2 hours ago
T
Sr. Platform Engineer, TD Securities
TD
Toronto, ON
- Full-time
We are looking for an experienced Hands-on Sr. Platform Engineer that will work on innovative and transformational initiatives at TD Securities -- the implementation of the next generation…
Added 2 hours ago
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Lead UI Developer - VP
Citi
Mississauga, ON
- Full-time
…globally. We are looking for a talented and passionate UI/UX engineer to join our trade processing application development team and continue to evolve our next-generation trading…
Added 2 hours ago
Senior Engineer - Mechanical Systems and Equipment
Westinghouse Electric Company, LLC
Kitchener, ON
As a Senior Engineer – Mechanical Systems and Equipment you will provide technical leadership for the design, development, analysis, and implementation of complex mechanical systems and…
Added 2 hours ago
CG
Senior/Expert Hardware Design Engineer - FPGA
CS GROUP - Canada
Montreal, QC
- Full-time
CS Group Canada is seeking a Senior/Expert Hardware Design Engineer with strong experience in video and audio systems to contribute the development and certification of automotive and…

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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