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Added 11 mins ago
Senior Forward-Deployed AI Engineer 1
Bell
Toronto, ON
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 11 mins ago
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Sensor R&D Engineer
Mecka
Richmond Hill, ON
- $150,000 to $190,000 CAD / year
- Full-time
Added 41 mins ago
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Technical Specialist II
BMO
Toronto, ON · SCC
- Full-time
We are looking for a highly skilled DevOps/Site Reliability Engineer (SRE) to join one of our high-performing, mission-critical technology teams. This role offers the opportunity to work on…
Added 41 mins ago
A
Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for an exceptional Machine Learning Engineer to design, build, operationalize, and scale production-grade AI/ML and Agentic AI systems at Autodesk For Go-to-market…
Added 55 mins ago
AI
Full Stack Engineer
Apptoza Inc.
Toronto, ON
- Contract
Added 55 mins ago
RC
SRE/ Platform Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Seeking a hands-on engineer to drive the reliability automation and modernization of the enterprise JAMS workload automation platform.
Added 55 mins ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Vancouver, BC
- Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 56 mins ago
Dev Ops Engineer (Student Position)
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
We are looking for a DevOps Engineer Student who is interested in learning how modern technology platforms are built, delivered, and supported within a large enterprise environment.
Added 56 mins ago
Forward Deployed Engineer, AI - Technology Strategy & Transformation
EY
Toronto, ON
Added 56 mins ago
GM
Manufacturing Controls Engineer
General Motors
St. Catharines, ON
- Full-time
…troubleshoot issues. Increasingly, you will also leverage data and analytics to improve safety, quality, uptime, and…
Added 56 mins ago
Workday Integration Engineer
Asana
Vancouver, BC
Added 1 hour ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Montreal, QC
- Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 1 hour ago
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RCCA Lead -Root Cause Corrective Action Lead
Cyient
Longueuil, QC
- Full-time
…(NA), HAD_ HGE (NA), Gtechnology (NA), GT Strudl (NA), Grid Analytics/ Re-Grid (NA), Gradle (NA), Google Earth (NA), Google Cloud (NA), Google API (NA), GLS (NA),…
Added 1 hour ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.
Added 1 hour ago
Platform Engineer - AI Engineering
DRW
Montreal, QC
We are looking for a Platform Engineer to help build and operationalize our AI tooling ecosystem. Working closely with the Team Lead and Senior/Staff SWE, you will be the hands-on…
Added 1 hour ago
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Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 1 hour ago
RI
Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Role : Azure Data Engineer with Databricks Expertise
Added 1 hour ago
Senior Product Solutions Analyst
Scotiabank
Toronto, ON
…introducing AI-powered technologies and delivering customized analytics solutions. This role involves contributing to the development and enhancement of internal generative AI applications,…
Added 1 hour ago
A
Senior Sales Engineer
Ataccama
Toronto, ON
- Full-time
As a Senior Sales Engineer, you will work closely with Account Executives to drive sales engineering activities across the entire deal lifecycle. This role requires adaptability, deep…
Added 1 hour ago
RA
Senior Azure Cloud Platform Engineer (Azure, Terraform, Power BI)
Recrute Action
Toronto, ON
- Contract
Senior Azure Cloud Platform Engineer (Azure, Terraform, Power BI)
Added 1 hour ago
BS
Technical Lead
Brainhunter Systems Ltd
Toronto, ON
- Contract
8+ years building and operating complex enterprise digital products, including experience as a Technical Lead, Staff Engineer or senior full-stack developer.
Added 1 hour ago
GT
Data Analyst - ADF + Databricks
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $95 CAD / hour
- Contract
…successful candidate will work on a daily basis with the Data Engineer Lead and client…
Added 1 hour ago
SI
Data Modeller
Smart IT Frame LLC
Toronto, ON
- Contract
Create XSD and JSON schemas. Lead MongoDB schema evolution, versioning, and migration. Rahona Data Engineer (data analytics ingestion and curation). Advanced proficiency with SQL query…
Added 1 hour ago
IB
Quality Assurance Engineer
IEG Business Solutions
Montreal, QC
- Full-time
IEG is looking for a detail-oriented and analytical Quality Assurance (QA) Engineer to join our team in Montréal.
Added 2 hours ago
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ML Engineer - Reconstruction
Peripheral
Toronto, ON
- Full-time
…Our models generate spatial data, used for advanced sports analytics and immersive media experiences. We’re solving key research challenges in 3D computer vision, creating the foundations…

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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