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Added 1 hour ago
Manager, Learning Experience Architect
Scotiabank
Toronto, ON
Champion a customer-focused culture and leverage broader Bank relationships, systems, and knowledge.
Added 1 hour ago
ME
Controls Designer [14454]
MEDA Engineering & Technical Services
Windsor, ON
- $30 to $39 CAD / hour
- Full-time
Our client, a designer/manufacturer and global integrator of welding and assembly systems and material handling systems, is in search of a Controls Designer to join their team.
Added 1 hour ago
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Senior Service Designer
GreenShield
Toronto, ON
- Full-time
GreenShield is seeking a Senior Service Designer to shape and improve end-to-end experiences for our customers, partners, and employees. You’ll uncover unmet needs, bring complex journeys…
Added 2 hours ago
SENOIR SERVICE DESIGNER
Green Shield Canada
Toronto, ON
GreenShield is seeking a Senior Service Designer to shape and improve end-to-end experiences for our customers, partners, and employees. You’ll uncover unmet needs, bring complex journeys…
Added 2 hours ago
DA
Technicien - Dessinateur AutoCAD Electrical | Designer CAD Electrical Technician
Dracon Automatisation
Levis, QC · Dracon - Lévis
- Full-time
The Designer-CAD Technician carries out several tasks mainly related to the design and formatting of diagrams, plans, and/or technical drawings aimed at supporting the creation of…
Added 2 hours ago
QI
Tech Lead
Quartermaster inc.
Toronto, ON
- Full-time
This role has three dimensions: leading engineers, working closely with a Product Manager and Designer as a “product trio", and collaborating with other engineering leaders on common needs…
Added 2 hours ago
Electrical and Controls Drafter/Designer, Power Generation
WSP
Calgary, AB
Step into a role where your technical expertise helps shape energy systems across Canada. From emerging low‑carbon initiatives to major facility design, you’ll contribute to projects that…
Added 2 hours ago
DT
Mechanical Designer
DCL Technology Group
Concord, ON
- $70,000 to $80,000 CAD / year
- Full-time
…on-highway vehicles. We are seeking an experienced Mechanical Designer to join our Engineering team. This hands-on role focuses on SolidWorks design, manufacturing-ready drawings, design…
Added 2 hours ago
Electrical and Instrumentation Technologist -Fredericton
Hatch
Fredericton, NB
…best-in-class team leverages methodologies, governance and systems that are unparalleled in the engineering space. Are you looking for an opportunity to join a diverse group of…
Added 3 hours ago
QI
Engineering Manager
Quartermaster inc.
Toronto, ON
- Full-time
This role has three dimensions: leading engineers, working closely with a Product Manager and Designer as a “product trio", and collaborating with other engineering leaders on common needs…
Added 3 hours ago
V
Manager, Finance & Business Operations (Richmond, BC)
voestalpine
Richmond, BC
- $95,000 to $120,000 CAD / year
- Full-time
Build a rewarding career with voestalpine Railway Systems Nortrak, North America's premier special trackwork designer and manufacturer with a 160-year legacy of rail innovation. Part of the…
Added 3 hours ago
AC
Mechanical Engineer
Amaris Consulting | Part of Mantu
ON · Ontario, Canada
- Full-time
As a Mechanical Designer / Mechanical Engineer, you will contribute to the design, development, and improvement of mechanical systems and components. You will work closely with…
Added 3 hours ago
OT
Structural Design Coordinator
Ontario Transit Group - Ontario Line - Southern Civil, Stations & Tunnel
Toronto, ON
- Full-time
Assess interfaces between structural systems and other disciplines, including temporary works, architectural, mechanical, electrical, and traffic-related designs, with particular attention…
Added 3 hours ago
WV
Product Designer - Vans & Campers
Wonder Vans
Squamish, BC
- $30 to $35 CAD / hour
- Full-time
We're looking for a practical, creative Product Designer to help develop our van and camper layouts, cabinetry and components. You'll balance good design with the realities of…
Added 3 hours ago
V
Accounts Payable Clerk (Richmond, BC)
voestalpine
Richmond, BC
- Internship
Embark on a rewarding career journey with voestalpine Railway Systems Nortrak, North America's premier designer and manufacturer of special trackwork. With a legacy spanning 160 years, we…
Added 3 hours ago
JO
Quality Manager
JELD-WEN of Canada
Winnipeg, MB
- Full-time
Working knowledge of quality systems, nonconforming product control, internal audits, customer or supplier quality and corrective action
Added 3 hours ago
W
B2B Growth Marketing Specialist
WoodPlank
Concord, ON
- Full-time
You'll take ownership of campaign strategy, copywriting, and project coordination, working closely with our graphic designer and Sales team to bring marketing initiatives to life.
Added 3 hours ago
C
Principal/Team Lead, Digital Verification Engineer (FEC)
Ciena
Ottawa, ON
- $136,700 to $218,300 CAD / year
- Full-time
…collaborate with FEC designers, DSP modelers, FEC verifiers, systems engineers and…
Added 3 hours ago
Senior/Lead CAD Designer - Mechnical
Talencity Inc.
Thunder Bay, ON
mechanical systems, steering the execution of equipment installations,
Added 5 hours ago
C
Service Designer
Citi
Mississauga, ON
- Full-time
As a Service Designer, you will connect business strategy to user experience by aligning people, process, technology, and touchpoints across end-to-end experiences to drive efficiency,…
Added 5 hours ago
C
Senior Service Designer
Citi
Mississauga, ON
- Full-time
As a Senior Service Designer, you will connect business strategy to user experience by aligning people, process, technology, and touchpoints across end-to-end experiences to drive…
Added 5 hours ago
A
Concepteur de produits principal/ Senior Product Designer
Acumatica
Montreal, QC
- Full-time
The Senior Product Designer owns the end-to-end user experience of Acumatica applications, shapes workflows, and aligns them with the product vision. As an active member of the discovery…
Added 5 hours ago
FC
Project Engineer
FCC Construcción
Toronto, ON
- Full-time
…delivering extensive upgrades to rail infrastructure, signalling systems, electrification, stations, maintenance facilities, rolling stock, and Union Station. This landmark program will…
Added 5 hours ago
A
Concepteur de produits principal/ Senior Product Designer
Acumatica
Montreal, QC
- Full-time
The Senior Product Designer owns the end-to-end user experience of Acumatica applications, shapes workflows, and aligns them with the product vision. As an active member of the discovery…
Added 5 hours ago
PS
Hardware Designer - Job opening HW8743
Paradox Security Systems
Saint-Eustache, QC
- Full-time
Join our hardware team and grow into a well-rounded electronics designer.

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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