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Added 5 mins ago
C
Financial Service Representative II
CIBC
Burnaby, BC
- Full-time
At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are…
Added 5 mins ago
W
Principal Electrical Engineer
Worley
Vancouver, BC
- Full-time
We are currently recruiting for a Lead Electrical Engineer. Our team includes world class experts and dynamic go-getters. This is a full-time position based in Vancouver, British Columbia.
Added 5 mins ago
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Principal Structural Designer
Worley
Calgary, AB · Edmonton, AB
- Full-time
We are currently recruiting for a Principal Structural Designer. Our team includes world class experts and dynamic go-getters. This is a full-time position based in Calgary, Alberta.
Added 5 mins ago
NT
Manager Security Assurance
NZ Transport Agency Waka Kotahi
Hamilton, ON
- Full-time
Report independently to the CISO, Digital Leadership Team and Board audit and risk processes
Added 5 mins ago
H
Directeur Ingenierie Mecanique (support à la production) / Manager – Mechanical engineering (support to Production)
Hitachi
Varennes, QC · (HE)Office_QC, Varennes
- Full-time
…future. As Mechanical Engineering Manager, you will oversee a team responsible for the design, development, and technical support of transformer products while contributing to the…
Added 5 mins ago
Q
FY27 Intern - Machine Learning Engineering Internship - Canada (4 months)
Qualcomm
Markham, ON
- Full-time
…Together with our ecosystem partners, we enable next-generation digital transformation. At Qualcomm, we are engineering human…
Added 35 mins ago
RB
Client Advisor Intern
Royal Bank of Canada
Montreal, QC
- Part-time
Contribute to team results by listening and spotting opportunities to offer additional advice, introduce clients to the capability of RBC partners, or personally fulfil client solutions
Added 35 mins ago
RB
Client Advisor
Royal Bank of Canada
Bonnyville, AB
- Part-time
…goals. Whether you’re demonstrating to a client how to use digital banking, on-boarding a new client, or referring a complex opportunity to a specialist, your expertise will contribute to…
Added 50 mins ago
NP
Healthcare Technology & Systems Lead
nuvRx Pharmacy
Hamilton, ON
- Full-time
As our team, services, and patient community continue to grow, we're looking for someone who shares our enthusiasm for innovation, enjoys solving problems, and wants to help shape the next…
Added 50 mins ago
Art Director
Clutch Technologies Inc.
Toronto, ON
…curious, hard-working, and driven individuals to our growing team. Headquartered in Toronto, Clutch was founded in 2017 and currently services Ontario, British Columbia, New Brunswick, Nova…
Added 50 mins ago
Marketing Specialist, Events/Spécialiste du marketing, événements
Make-A-Wish Canada / Rêves d'enfants Canada
Montreal, QC
A collaborative team environment with a rewarding employment experience where you feel valued and inspired
Added 50 mins ago
Marketing Specialist, Events
Make-A-Wish Canada / Rêves d'enfants Canada
Montreal, QC
A collaborative team environment with a rewarding employment experience where you feel valued and inspired
Added 1 hour ago
KD
Directeur·rice, Intelligence consommateurs | Consumer Insights Manager
Keurig Dr Pepper
Montreal, QC
- Full-time
Added 1 hour ago
A
Personal Banking Advisor - Carstairs
ATB
Carstairs, AB
- Full-time
At ATB, we exist to make it possible for our clients, team members and communities. Our purpose is more than aspirational. It's a real commitment we live every day through our values (what…
Added 1 hour ago
W
Principal Piping Engineer
Worley
Calgary, AB · Edmonton, AB
- Full-time
Coordinate resource requirements with the Piping Engineering portfolio or functional leadership team.
Added 1 hour ago
S
Seasonal Retail Sales Consultant - Part time - Galeries de la Capitale Glassbox, QC
Swarovski
Quebec, QC
- Part-time
Ready to bring brilliance to life with one of the most iconic brands in fashion and design? Join our retail team and be part of a culture where service meets style, and every interaction…
Added 1 hour ago
S
Seasonal Retail sales Consultant - Part time - Galeries de la Capitale Glassbox, QC
Swarovski
Quebec, QC
- Part-time
Ready to bring brilliance to life with one of the most iconic brands in fashion and design? Join our retail team and be part of a culture where service meets style, and every interaction…
Added 1 hour ago
S
Seasonal Retail Sales Consultant - Part Time - Galeries De La Capitale Glassbox, QC
Swarovski
Quebec, QC
- Part-time
Ready to bring brilliance to life with one of the most iconic brands in fashion and design? Join our retail team and be part of a culture where service meets style, and every interaction…
Added 1 hour ago
C
Financial Services Representative ll
CIBC
BC
- Full-time
At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are…
Added 1 hour ago
Q
FY27 Intern - Display IP FPGA Emulation Intern - Canada (4 months)
Qualcomm
Markham, ON
- Full-time
…Together with our ecosystem partners, we enable next-generation digital transformation. At Qualcomm, we are engineering human…
Added 1 hour ago
SH
Sunglass Hut Market Manager Prairies North
Sunglass Hut
Fredericton, NB
- Full-time
…including iconic eyewear, advanced lens technology and cutting-edge digital solutions. Join our global community of over 200,000 dedicated employees around the world in driving the…
Added 1 hour ago
H
Conseiller(ère) principal(e) à la transformation
Hitachi
Varennes, QC · (HE)Office_QC, Varennes
- Full-time
Added 1 hour ago
F
Creative Director
Foundation
Remote, Canada
- $110,000 to $135,000 CAD / year
- Full-time
- Remote
You work across all of our client teams. Each team is led by a Group AEO Marketing Director who owns a book of clients, with an AEO Program Director who runs delivery. Our writers,…
Added 1 hour ago
LH
Physiotherapist
Lifemark Health Group
Windsor, ON
- $36.92 to $51.17 CAD / hour
- Internship
…life well. With a national network of over 325 clinics and a team of 6,000 passionate professionals, we provide comprehensive care with a local touch. Our team of dedicated professionals,…
Added 1 hour ago
PC
Corporate Finance Senior Associate (Bilingual FR/EN)
PwC Canada
QC · Clarke City, QC
- Full-time
As a Corporate Finance Senior Associate (Bilingual FR/EN) , you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high-quality client service and…

Welcome to the Jungle

Senior Forward Deployed Engineer (Gemini Enterprise)

Montreal, QC, Canada

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Job details

Posting language: English
Posted: Nov 4, 2026

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.

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More about this job

Responsibilities

You will design and build end-to-end AI products, including conversational applications and agentic systems, while working embedded with clients. You are responsible for the full delivery lifecycle, from front-end interfaces and backend services to data pipelines and production deployment.

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 computer science or a related field is required, along with strong proficiency in Python, TypeScript, and GCP.

Skills

Gemini Enterprise
Vertex AI
Python
TypeScript
JavaScript
React
RAG
Vector Search
Google Cloud Platform
Agentic Frameworks
Data Engineering
Full-stack Development
API Development
CI/CD
Infrastructure as Code
LLM Evaluation

Visa sponsorship

Not detected in the job text

Keywords

Gemini Enterprise
Vertex AI
Google Cloud Platform
Python
TypeScript
React
RAG
Agentic Systems
Data Engineering
Software Engineering
LLM
BigQuery
Terraform
CI/CD
API
Vector Search
LangGraph
LangChain
Agent Development Kit
Full-stack
Cloud Infrastructure
Machine Learning
Generative AI
Consulting
Data Science
Observability
Version Control
Embeddings
MCP
Prompt Engineering

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