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Added 4 mins ago
RJ
Assistant Headteacher – Behaviour and Rewards
Rimo Jobs
Sudbury, ON
- Full-time
Thomas Gainsborough School is seeking an exceptional leader to join our Senior Leadership Team as Assistant Headteacher - Behaviour and Rewards.
Added 4 mins ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Translate complex data into clear, actionable recommendations for senior leadership
Added 4 mins ago
TI
Semantic Modeller
TS Imagine
Montreal, QC
- Full-time
…multiple openings across levels, from intermediate through…
Added 4 mins ago
NB
Senior Advisor Consumer Protection Compliance
National Bank of Canada
Montreal, QC
- Full-time
as a Senior Advisor, Consumer Protection Compliance
Added 4 mins ago
HT
Designer, Development (Electrical)
Husky Technologies
Bolton, ON
- Full-time
The Senior Designer, Development (Electrical) will be a key contributor to these product development teams, responsible for designing and delivering robust, safe and reliable electrical…
Added 4 mins ago
UO
Labour Relations Consultant
University of Waterloo
Waterloo, ON
- Full-time
Provides senior-level labour relations expertise to support the University’s operational and strategic objectives. The position advises leaders on complex employee and labour relations…
Added 4 mins ago
UO
Instructional Support Coordinator – WE Accelerate
University of Waterloo
Waterloo, ON · William M. Tatham Centre
- Full-time
Inform the Senior Manager, Work-Integrated Learning Programs of changes/trends in student support issues; suggest improvements to the student support system
Added 4 mins ago
UO
Human Resources Partner
University of Waterloo
Waterloo, ON
- Full-time
Partners with senior leaders to provide strategic employment solutions in alignment with departmental and university objectives
Added 4 mins ago
UO
Technician, Structures and Materials
University of Waterloo
Waterloo, ON
- Full-time
…teaching and research activities, with guidance and oversight from senior…
Added 4 mins ago
UO
Project Manager, WUSA
University of Waterloo
Waterloo, ON · General Services Complex
- Full-time
Reporting to the Senior Director, Planning Design and Construction, the Project Manager, WUSA is responsible for the planning and delivery of design, construction, renovation, and facility…
Added 4 mins ago
UO
Academic Services Coordinator
University of Waterloo
Waterloo, ON · Pearl Sullivan Engineering Building
- Full-time
Added 4 mins ago
UO
Director, Information Systems
University of Waterloo
Waterloo, ON
- Full-time
Added 4 mins ago
UO
Academic Services Coordinator
University of Waterloo
Waterloo, ON · Centre Environment & Info Tech
- Full-time
Added 4 mins ago
UO
Manager, Identity and Access Management
University of Waterloo
Waterloo, ON
- Full-time
2-4 years of leadership responsibility managing midsized teams and influencing senior-level management and key stakeholders.
Added 4 mins ago
UO
Academic Services Coordinator
University of Waterloo
Waterloo, ON · Pearl Sullivan Engineering Building
- Full-time
Added 4 mins ago
Project SCM Manager
Subsea7
St. John's, NL
Work strategically with the functional senior management team to ensure the right organisation is in place for each Tender Package, Subcontract or Purchase Order (PO) for the execution…
Added 4 mins ago
T
Customer Service Representative Onsite (Waterloo)
Teleperformance
Waterloo, ON · TPCA Waterloo
- Full-time
Respond to customer inquiries by referring them to published materials, secondary sources or more senior staff
Added 4 mins ago
T
Operations Manager
Teleperformance
Toronto, ON · TPCA Toronto
- Full-time
…by coaching a high-performing team and help them engage with senior internal & external stakeholders. You will be responsible for implementing strategic initiatives to help businesses…
Added 4 mins ago
T
Operations Manager
Teleperformance
Toronto, ON · TPCA Toronto
- Full-time
…by coaching a high-performing team and help them engage with senior internal & external stakeholders. You will be responsible for implementing strategic initiatives to help businesses…
Added 4 mins ago
T
Customer Service Representative Onsite (Waterloo)
Teleperformance
Waterloo, ON · TPCA Waterloo
- Full-time
Respond to customer inquiries by referring them to published materials, secondary sources or more senior staff
Added 4 mins ago
T
Elevated Support Senior Specialist
Teleperformance
Toronto, ON · TPCA Toronto
- $23.43 CAD / hour
- Full-time
Advertised as: Elevated Support Senior Specialist
Added 4 mins ago
T
Elevated Support Senior Specialist
Teleperformance
Toronto, ON · TPCA Toronto
- $23.43 CAD / hour
- Full-time
Advertised as: Elevated Support Senior Specialist
Added 4 mins ago
SB
Senior Hydraulics and Capacity Engineer
South Bow
Calgary, AB · Manulife Place
- Full-time
We are seeking a Senior Hydraulics and Capacity Engineer to provide technical leadership and strategic oversight of operational capacity management for South Bow's crude oil pipeline…
Added 20 mins ago
M
Senior Risk Manager - Subways
Mace
Toronto, ON
- Full-time
Added 20 mins ago
MS
Consultant Conversion - Lead Cybersecurity Eng : Job Level - Director
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our team as a Senior Cybersecurity Engineering to lead enterprise data loss prevention platform integrations, drive the development of custom data protection…

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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