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Added 2 mins ago
Software Engineer III, Infrastructure, Core
Google
Waterloo, ON
…advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and…
Added 2 mins ago
GD
Co-op Winter 2027 - Software Developer - 8 Months
General Dynamics Missions System International
Ottawa, ON
- Internship
The Applications team for the Land C5ISR Program is looking for a Co-op Software Engineer to join our team. We develop and integrate various software products that enable the Canadian Army…
Added 14 mins ago
PS
Artificial Intelligence Engineer
Professional Staffing
Toronto, ON · Greater Toronto Area, Canada
- $150,000 to $180,000 CAD / year
- Full-time
…performance in production. The team is looking for a curious, product-minded engineer who operates independently, makes sound trade-off decisions, and measures success by business outcomes…
Added 46 mins ago
C
Senior Software Engineer II, Investors
Carta
Waterloo, ON
- Full-time
As a Senior Software Engineer II Within The Investors Business Unit, You Will Lead Technically Complex Projects And Serve As a Multiplier For Your Team. You’ll Work To
Added 46 mins ago
C
Senior Software Engineer II, Investors
Carta
Toronto, ON
- Full-time
As a Senior Software Engineer II Within The Investors Business Unit, You Will Lead Technically Complex Projects And Serve As a Multiplier For Your Team. You’ll Work To
Added 1 hour ago
BM
Quality Engineer III
Baylis Medical Technologies
ON · Mississauga, ON
- Full-time
As a Quality Engineer III, you will play an important role in ensuring our products meet the highest standards of quality, safety, and regulatory compliance throughout the product…
Added 1 hour ago
AN
Technical Solutions Engineer - Cloud, Hyperscalers and AI networks
Arista Networks
Vancouver, BC
- Full-time
…A TSE at Arista is equivalent to a Tier 3 TAC or Escalation Engineer in most support organizations. We drive the success of our customers through passion and teamwork and via ensuring quick…
Added 1 hour ago
OA
Principal Software Engineer, React Native
Otto AI
Canada
- Contract
We’re looking for a Principal Software Engineer to own the technical direction and hands-on development of our React Native mobile experience.
Added 1 hour ago
K
Supplier Quality Manager
Kiewit
Vancouver, BC
- Full-time
…will be the key point of contact for suppliers with regard to product quality, for your projects, and will be the liaison with supplier fabrication sites, project teams, engineering,…
Added 1 hour ago
K
Supplier Quality Manager
Kiewit
Toronto, ON
- Full-time
…will be the key point of contact for suppliers with regard to product quality, for your projects, and will be the liaison with supplier fabrication sites, project teams, engineering,…
Added 1 hour ago
K
Supplier Quality Manager
Kiewit
AB · Edmonton, AB
- Full-time
…will be the key point of contact for suppliers with regard to product quality, for your projects, and will be the liaison with supplier fabrication sites, project teams, engineering,…
Added 1 hour ago
G
Software Engineer
Gale
Vancouver, BC
- $110,000 to $130,000 USD / year
- Full-time
We're hiring a full-time software engineer to help build the technology behind Gale.
Added 2 hours ago
Senior Frontend Developer, Market Innovations
HelloFresh
Toronto, ON
We are a close-knit group of engineers of different stripes - developers, designers, and product owners - who are working together to solve interesting e-commerce and supply chain problems…
Added 2 hours ago
SE
Senior Software Engineer II
Schneider Electric
Calgary, AB
- $114,750 to $162,000 CAD / year
- Part-time
We’re looking for a hands-on Software Engineer to help build and scale the next generation of AI-powered solutions. In this role, you’ll combine deep Generative AI engineering with direct…
Added 2 hours ago
DS
ENOVIA Sales Engineer
Dassault Systèmes
Montreal, QC
- Full-time
Dassault Systèmes is seeking an ENOVIA Sales Engineer to join our North American team. In this customer-facing role, you will support organizations in their digital transformation by…
Added 2 hours ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Senior Software Engineer, you will help design, build, and operate core components of the service while solving complex challenges across distributed systems, database technologies,…
Added 3 hours ago
Full-Stack Software Engineer
Electronic Arts
Vancouver, BC
…performant user interfaces. You will also collaborate across design, product, and engineering teams to deliver high-quality, API-driven features that power our web applications and report…
Added 3 hours ago
SI
Software Engineer, Level 3, Backend
Snap Inc.
Toronto, ON
- Full-time
We’re looking for a Backend Engineer to join Snap Inc!
Added 4 hours ago
LV
Computer Vision Engineer, FPGA
LUCID Vision Labs, Inc.
Burnaby, BC
- Full-time
…expertise combines deep industry experience with a passion for product quality, technology innovation and customer service…
Added 4 hours ago
AS
Full Stack Java Developer
Apex Systems
Toronto, ON
- $55 to $80 USD / hour
- Contract
The ideal candidate is a strong hands-on engineer with deep full stack expertise, capable of translating business requirements into robust technical solutions. This individual will work…
Added 4 hours ago
P
GTM Engineer, Growth and Marketing Operations
Punt
Vancouver, BC
- $145,000 to $175,000 CAD / year
- Full-time
We are building AI into how Punt markets and grows across our brands. We are hiring a forward-deployed AI engineer - a hands-on builder and operator - to identify where AI workflows can…
Added 4 hours ago
PL
Mechanical Engineer
Powertech Labs Inc.
Surrey, BC
- $89,000 to $113,000 CAD / year
- Full-time
The Mechanical Engineer will participate in all phases of product development, including design, analysis, technical documentation, procurement support, testing, and field deployment…
Added 4 hours ago
P
Member of Technical Staff (Software Engineer, Enterprise Trust & Governance)
Perplexity
Toronto, ON
- $220,000 to $405,000 USD / year
- Full-time
…controls easy to manage, reliable and consistent across every product, and transparent to the people accountable for…
Added 5 hours ago
V|
Senior Director – Process Engineering NORAM
Veolia | North America
Oakville, ON
- Full-time
Partner closely with commercial leaders, product management, operations, and project execution teams to develop solutions that are technically robust and commercially competitive.
Added 5 hours ago
A
Principal MCP/AI Developer
Autodesk
ON · Ontario, Canada
- Full-time
Autodesk's Visualization Solutions power high-performance 2D and 3D visualization experiences across our product portfolio. Our new team in Canada is bringing agentic AI to that experience…

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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