Find work in Canada.

327,496 jobs across our Canadian network. How we count

Jobs in Canada

Save this search

Added 18 days ago
Agentic AI Engineer/Architect - FTA
SIA Innovations INC
Montreal, QC
FORWARD - DEPLOYED Engineer · Montréal, QC · Full-Time, Permanent · 100% On-Site · Start Date: September 14, 2026
Added 19 days ago
Senior Java Full Stack Engineer, TD Securities
TD
Toronto, ON
Full-time
As a Senior Java Full Stack Developer, demonstrate ownership, accountability, and long-term thinking by delivering secure, reliable, maintainable, and business-aligned technology solutions.
Added 19 days ago
Senior Full Stack Developer - AI & Developer Productivity
Royal Bank of Canada
Toronto, ON
Full-time
The Senior Full Stack Developer is a hands‑on engineer and pragmatic technical partner on the APT product team. You will design and build responsive Angular frontends, resilient Java/Spring…
Added 19 days ago
Lead Software Engineer (Agentic AI & Full Stack) - Vice President
Citi
Mississauga, ON
Full-time
Citi is looking for a Lead Software Engineer to architect and deliver next-generation Agentic AI applications at the intersection of full-stack engineering and large language model…
Added 19 days ago
Senior Product Engineer
Royal Bank of Canada
Toronto, ON
Full-time
5+ years of modern full-stack web application development experience (React, API design, scalable systems)
Added 19 days ago
Senior Full Stack Engineer - Chief Technology Officer (CTO) - Platform Engineer
HSBC
Toronto, ON
Full-time
Join Chief Technology Officer (CTO) Platforms as a Senior Full Stack Engineer focused on app.hsbc with end-to-end responsibility for one or more platform products and services. This is a…
Added 20 days ago
Senior Product Engineer
RBC
Toronto, ON
Full-time
5+ years of modern full-stack web application development experience (React, API design, scalable systems)
Added 24 days ago
Senior Software Development Engineer
BeyondTrust
Canada
Full-time
BeyondTrust is seeking a Sr Software Development Engineer to help build the NHI Governance domain within our Pathfinder products. You will design, build, and operate the full-stack services…
Added 24 days ago
Sr. Software Development Engineer / Principal Software Development Engineer
Workday
Toronto, ON
Full-time
…support more than 20 agents going into production, improving cost governance, exploring hosting open-source LLMs in our stack, evaluating a potential rewrite of the service in a different…
Added 24 days ago
Senior AI Engineer, Agentic Healthcare Platform
TechDoQuest
Canada
Contract
Exposure to React and TypeScript for occasional full-stack collaboration, while remaining primarily backend/platform focused.
Added 25 days ago
Senior Data & Analytics Engineer (Platform Engineer - 12 month temp)
BCI
Vancouver, BC
Temporary
BCI's Data and Analytics platform drives decisions across 75% of the organization, and we are looking for a Senior Data and Analytics Engineer (Platform) who can step in and own it. Based…
Added 19 days ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 26 days ago
Senior Data Engineer
Aduna Global
Montreal, QC
Full-time
Behind those APIs sits data our teams must be able to trust: CAMARA API transaction data, operator (CSP) usage records, and cross-operator analytics that feed our BI, analytics, and ML. As…
Added 16 days ago
Senior SRE/AIOps Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Our team supports a portfolio of multi-platform HR data pipelines that move and process data into Snowflake through multiple integrated components, requiring end-to-end monitoring,…
Added 24 days ago
Senior SRE/AIOps Engineer
RBC
Toronto, ON
Full-time
Our team supports a portfolio of multi-platform HR data pipelines that move and process data into Snowflake through multiple integrated components, requiring end-to-end monitoring,…
Added 25 days ago
Senior AI Engineer
Manulife
Toronto, ON · Waterloo, ON
Full-time
As a Senior AI Engineer, you will be responsible for Full-Stack Software Development i.e. building modern, cloud-based, and AI-enabled applications that help Manulife make decisions easier…
Added 25 days ago
Lead Full-Stack GenAI Engineer
Vancity
Vancouver, BC
Full-time
As a Lead Full-Stack GenAI Engineer, you will lead the hands-on delivery of secure Generative AI and agentic AI solutions from discovery and prototype through production deployment,…
Added 1 month ago
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g., forecasting, classification, recommendation, anomaly detection) using tech…
Added 1 month ago
Lead Analytics Engineer
Innodata Inc.
Canada
$130,000 to $150,000 CAD / year
Contract
We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader.…
Added 5 months ago
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Vancouver, BC
Full-time
Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g., forecasting, classification, recommendation, anomaly detection) using tech…
Added 28 days ago
AI Engineer
YuJa Inc.
Toronto, ON · North York, Ontario
Full-time
Familiarity with front-end or full-stack technologies is a plus
Added 29 days ago
Senior DevOps Engineer, Agentic Automation & Live Games
Big Viking Games
Remote, Canada
Full-time · Remote
Big Viking Games is hiring a Senior DevOps Engineer, Agentic Automation & Live Games to modernize the infrastructure behind our live-service games and help reinvent how those systems are…
Added 1 month ago
Senior Software Engineer I
Thomson Reuters
Toronto, ON
Full-time
We're looking for a Senior Software Engineer to join the CoCounsel Applications team and play a hands-on role in building and evolving our external integration strategy leveraging MCP and…
Added 1 month ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact North America
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 1 month ago
Senior AI Engineer Java
J&M Group
Toronto, ON
Full-time
We are seeking an experienced and highly motivated Senior AI Engineer to join the Canada Segments Technology Strategy team. This role will accelerate business and technology transformation…

Artefact

Senior Forward Deployed Engineer (Gemini Enterprise)

Montreal, QC, Canada

Posting language: English
Posted: Sep 1, 2026

Apply About employer

Applications open in a new tab.

Original job description

About Artefact

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.

We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise - we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions.

As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption.

The Role

Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production.

You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works.

This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle - full-stack development, data engineering, cloud infrastructure, evaluation, and client communication.

You will work closely with our clients, with direct exposure from the start, and you will support the professional development of the engineers around you.

What You'll Do

Build Full-Stack AI Applications, End to End

You will build AI products across the entire stack, from interface to infrastructure.

Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node.
Implement agentic behavior: orchestration, tool and function calling, memory, and guardrails.
Build retrieval-augmented generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid search.
Connect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP.

Go Deep on Gemini Enterprise and the Google AI Stack

You will be the team's reference for Google's enterprise AI platform.

Design and build agents with Gemini models, Vertex AI, the Agent Development Kit (ADK), and Agent Engine.
Implement and configure Gemini Enterprise for clients: Agent Designer for natural-language and trigger-based agents, the Inbox for managing long-running agents at scale, and agent sandboxes for autonomous problem-solving.
Connect Gemini Enterprise to the client's application landscape through first-party and partner connectors, with proper permissions, governance, and auditability.
Build grounded, retrieval-backed applications with Vertex AI Search and RAG Engine, grounding with Google Search, and BigQuery as the data backbone.
Implement agent interoperability through the A2A protocol and MCP.
Track Google's releases closely and translate new capabilities into client value quickly.

Make AI Systems Production-Grade

Our standard is production quality: systems that are reliable, monitored, and maintainable.

Write evaluation suites and regression tests for LLM-powered features, and monitor cost, latency, and quality in production.
Apply solid engineering practice: version control, code review, automated testing, CI/CD, and observability.
Deploy on cloud infrastructure (GCP, Azure, or AWS) using containers, serverless, and infrastructure-as-code.
Build and maintain the data pipelines that feed AI systems, across warehouses, lakehouses, and vector stores.

Work AI-Natively and Client-Facing

Our engineers work AI-natively and represent Artefact directly with clients.

Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment about verification and review.
Communicate progress, trade-offs, and blockers clearly to clients and project leads.
Support pre-sales when needed: scope solutions, build demos, and estimate effort with our partnership and consulting teams.
Mentor junior engineers and contribute to internal accelerators, reusable components, and engineering standards.

What We're Looking For

Required Experience

3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
Strong hands-on experience with the Google AI stack: Gemini models, Vertex AI, and ideally Gemini Enterprise or ADK - ideally with experience taking at least one solution to production on GCP.
Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
Experience with front-end development (React or similar) and at least one backend framework.
Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (Google ADK, LangGraph/LangChain).
Strong working experience with GCP; Azure or AWS is a plus.
Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
Experience building and maintaining data pipelines.
Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications

A Google Cloud certification is a strong differentiator at application. If you do not hold one yet, obtaining it within your first 2 months in the role is a requirement - Artefact sponsors the exam and gives you time to prepare.

Google Cloud Professional Machine Learning Engineer (preferred), covering Vertex AI, generative AI, and production ML.
Google Cloud Generative AI Leader is valued as a foundation, complemented by hands-on Vertex AI / Gemini Enterprise delivery experience.

Preferred Experience

Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
Experience with Terraform or CI/CD pipelines.
Experience with GCP, BigQuery, or Google Workspace integrations alongside Gemini Enterprise.

Key Capabilities

A strong candidate will bring:

Deep expertise in Gemini Enterprise and the Google AI stack, combined with breadth across the full stack
Owns features end to end, from interface to infrastructure
Cares about evaluation and reliability, not just the happy path
Communicates clearly with clients in demos, documents, and code review
Client-facing mindset: understands client needs and translates business requirements into technical solutions
Learns new tools and models fast, and shares what works

Why Join Artefact

At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.

You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.

We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.

Our values aren't decorations on a wall - they're how we actually work:

There is always a way - We're builders and problem-solvers. An idea only counts if it gets executed.
Client trust is won in the field - We show up, sleeves rolled up, working side by side with our clients.
If it's not used, it's useless - We build for adoption and impact, not for slide decks.
If it's not shared, we're not done - Knowledge shared compounds. We invest in each other's growth.
We learn every day - In a field that moves this fast, standing still means falling behind. We embrace the challenge.

Apply About employer

More about this job

Responsibilities

You will design and build end-to-end AI products, including agentic systems, RAG pipelines, and user-facing interfaces. You will work embedded with clients to deploy production-grade AI solutions while maintaining high standards for reliability and performance.

Requirements

Candidates must have 3-5 years of experience in software or data engineering with extensive hands-on use of LLMs and the Google AI stack. A bachelor's or master's degree in a relevant field is required, along with strong proficiency in Python and TypeScript.

Skills

Gemini Enterprise
Vertex AI
Python
TypeScript
React
RAG
Agentic systems
Data engineering
Cloud infrastructure
GCP
API development
Machine learning
Software engineering
Prompt engineering
CI/CD
Vector search

Benefits

Professional development support
Certification sponsorship
Global team collaboration

Visa sponsorship

Not detected in the job text

Keywords

Gemini Enterprise
Vertex AI
Google Cloud Platform
Python
TypeScript
React
RAG
Agentic AI
BigQuery
Data Engineering
Machine Learning
LLM
API
Terraform
CI/CD
Vector Databases
Software Engineering
Consulting
Artificial Intelligence
Cloud Infrastructure
Prompt Engineering
LangGraph
LangChain
MCP
Observability
Containerization
Serverless
Data Pipelines
Governance
Auditability

Report this job