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Added 46 mins ago
ES
Senior Solution Architect
EPAM Systems
Toronto, ON
- Full-time
This role provides technical leadership for a leading retailer's Enterprise Product Data Transformation program. This foundational initiative is modernizing the end-to-end product data,…
Added 3 hours ago
AC
Senior Analytics Engineer
Aviva Canada
Markham, ON
- Full-time
You will play a key role in evolving our Claims Data ecosystem by delivering high‑impact data solutions, supporting engineering best practices and the modernization of our data platform.…
Added 3 hours ago
LC
Senior Director, Pharmacy Experience and Transformation
Loblaw Companies Limited
Toronto, ON
- Full-time
Lead a portfolio of key transformation initiatives, including Experience Insights & Analysis, Pharmacy Experience Program (PEP), Rx Delivery, AI Call Agent and Assisted Data Entry.
Added 3 hours ago
LD
Staff Data Engineer
Loblaw Digital
Toronto, ON
- Full-time
As a Staff Data Engineer, you will play a technical leadership and architecture role on the Retail Media Platform team. This is a senior, hands-on position focused on designing, building,…
Added 3 hours ago
M
Software Engineer II
Marqeta
Remote, Canada
- Full-time
- Remote
As Marqeta's Software Engineer II, you will deliver resilient and sustainable software projects from design to implementation and rollout. You will execute on defined projects to achieve…
Added 3 hours ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 5 hours ago
SC
Senior Analytics Engineer
Securian Canada
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
…expertise with big-picture thinking. Using your strengths in SQL, data modeling, and modern data transformation practices, you'll help move the organization beyond one-time reporting…
Added 5 hours ago
SC
Senior Analytics Engineer
Securian Canada
Waterloo, ON
- $100,000 to $130,000 CAD / year
- Full-time
…expertise with big-picture thinking. Using your strengths in SQL, data modeling, and modern data transformation practices, you'll help move the organization beyond one-time reporting…
Added 8 hours ago
W
Technical Consultant II, Environmental Scientist
Worley
Edmonton, AB · Calgary, AB
- Full-time
Intermediate Environmental Scientist, Engineer in Training, or Technologist
Added 11 hours ago
ES
Delivery Manager / Senior Delivery Manager for Financial Services
EPAM Systems
Toronto, ON
- Full-time
…process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating…
Added 12 hours ago
GI
Algorithm Software Engineer
Garmin International, Inc.
Cochrane, AB
- Full-time
…things happen at the boundaries between disciplines. Where data science and engineering meet, you will be pushing the boundaries of industry leading algorithms that help people beat…
Added 13 hours ago
ES
Solution Architect
EPAM Systems
Canada
- Full-time
…leading cross-functional teams to deliver scalable, integrated solutions that drive measurable impact across…
Added 15 hours ago
T
Edge/Systems Engineer
TAIRC
Niagara-on-the-Lake, ON
- Volunteer
Collaborate with hardware teams: Work with device manufacturers to implement efficient inference solutions.
Added 16 hours ago
V
Senior Software Engineer (Rust)
Varonis
Vancouver, BC
- Full-time
Senior Software Engineer – Secure AI Platform (Vancouver, On-Site)
Added 18 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 21 hours ago
ES
Senior Product Manager | Applied AI
EPAM Systems
Canada
- Full-time
…ability to build, train or tune machine-learning models as an ML engineer or data scientist…
Added 21 hours ago
ES
Compute Platform SRE Lead
EPAM Systems
Canada
- Full-time
Handle service requests, configuration updates, and audit-related data extracts.Develop and update Standard Operating Procedures (SOPs) for infrastructure operations
Added 21 hours ago
ES
Senior Cloud & Infrastructure Engineer (Azure & Terraform)
EPAM Systems
Canada
- Full-time
We are looking for a senior-level Infrastructure Engineer with deep expertise in Azure Cloud architecture and production-grade Terraform development. You will own the creation,…
Added 23 hours ago
S
Lead Solutions Architect
SAILLENT
Canada
- Contract
→ 5+ years as a Solutions Architect or Security Engineer in cybersecurity, cloud infrastructure, or AI/ML platforms.
Added 1 day ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to…
Added 1 day ago
ES
Program Manager - Supply Chain
EPAM Systems
Toronto, ON
- Full-time
Partner with data science, engineering, and retail operations teams to design and operationalize AI solutions that improve supply chain visibility and decision-making
Added 1 day ago
ES
Data Technology Consultant - Data & AI Modernization
EPAM Systems
Canada
- Full-time
Design Modern Cloud Architectures: Architect scalable, cloud-native Data & AI solutions (utilizing Databricks, Snowflake, and medallion architecture patterns) optimized for business outcomes
Added 1 day ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
…infrastructure that enables enterprise AI, Generative AI, and Agentic AI solutions at…
Added 1 day ago
C
Manager AI Engineering-CA
CN
Quebec, QC
- Full-time
…and operationalizing enterprise artificial intelligence (AI) solutions that support CN's next generation of data, analytics, automation, and agentic capabilities. The role translates…
Added 1 day ago
K
Process Design Engineer/Analyst
Kinectrics
Toronto, ON
- Full-time
…services in the energy and utility sector. We develop innovative solutions for the global electricity and medical industries, helping empower a sustainable future. Trusted by clients…

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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