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Added 7 mins ago
Senior Geotechnical Applications Engineer
Mattr
AB · Edmonton, AB
As a Senior Geotechnical Applications Engineer with Xerxes, you will be a key technical resource supporting the application, installation, and field performance of underground storage tank…
Added 7 mins ago
TU
Research Engineer
The University of British Columbia
Kelowna, BC
- $6,631.67 to $9,533.25 CAD / month
- Full-time
Note: Applications will be accepted until 11:59 PM on the Posting End Date.
Added 7 mins ago
BH
Specialist Engineer (Grid Telecom Operations)
BC Hydro
BC · Fraser Valley, BC
- Full-time
…production sites. We provide centralized grid telecom support to field Technologist and other teams within BC…
Added 7 mins ago
CE
Operations Engineer
Canadian Energy Insight Inc.
Calgary, AB
- Full-time
Spartan is seeking an individual to fulfill the responsibilities of an Operations Engineer to join the Operations team. This role is primarily responsible for optimizing production from…
Added 38 mins ago
DM
Project Engineer
Discovery Mining Ltd
Timmins, ON
- $91,000 to $114,000 CAD / year
- Full-time
Discovery Mining has an exciting opportunity for a Project Engineer .
Added 38 mins ago
SD
Operations Engineer
Spartan Delta Corp.
Calgary, AB
- Full-time
Spartan is seeking an individual to fulfill the responsibilities of an Operations Engineer to join the Operations team. This role is primarily responsible for optimizing production from…
Added 38 mins ago
S
Structural Engineer-In-Training (E.I.T.)
Senaltek
Calgary, AB
- Full-time
We are looking for a motivated Structural Engineer-in-Training to join our team. This role is a chance to build a broad structural foundation early, working directly with senior engineers…
Added 1 hour ago
TT
Optical System Design Engineer
Teledyne Technologies Incorporated
Waterloo, ON · Canada - Waterloo, ON
- Full-time
Required: 5+ years designing optical systems for imaging, photonics, instrumentation, or industrial applications.
Added 1 hour ago
E
Civil Project Engineer/ Project Manager
EXP
Markham, ON
- Full-time
Be our next Civil Project Engineer/ Project Manager!
Added 1 hour ago
VS
Software Systems Engineer - Interferometry/microscopy
VIAVI Solutions
Ottawa, ON
- Full-time
…electronics, industrial, automotive, government and aerospace…
Added 1 hour ago
NF
Senior Reservoir Engineer
NES Fircroft
AB · Alberta, Canada
- Full-time
Our client, a leading energy producer, is seeking a Senior Reservoir Engineer to join their Southeast Asset Team in Calgary. This opportunity offers the chance to play a key role in…
Added 1 hour ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Work in cross-functional teams to develop ML/data science products, including GenAI applications
Added 1 hour ago
T
DevOps Engineer
TEEMA
Montreal, QC
- $65 to $77 CAD / hour
- Contract
Integrate identity platforms with applications and external partner systems.
Added 1 hour ago
TF
Validation Engineering Specialist II
Thermo Fisher Scientific
Whitby, ON
- Full-time
Join our collaborative team as a Validation Engineer II at Thermo Fisher Scientific within the Continuous Process Verification (CPV) team, where you'll contribute to global healthcare and…
Added 1 hour ago
MT
Controls Engineer
Modern Technical Staffing Inc.
Toronto, ON
- Full-time
Convert legacy control applications into standardized Soft PLC product applications.
Added 1 hour ago
O
Junior Hydrogeologist/Geologist
Onterris
Calgary, AB · CAN-Alberta-Calgary
- Full-time
…interconnected, interwoven and international. Our scientists, engineers, field teams, consultants and professionals collaborate across disciplines and geographies, guiding industries and…
Added 2 hours ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Welcome to the Jungle
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 3 hours ago
SG
Power Electronics Design Engineer
Socomec Group
Brampton, ON
- Full-time
We are looking for a highly skilled Power Electronics Design Engineer with expertise in simulation, hardware design, and testing to join our team. The ideal candidate will possess extensive…
Added 3 hours ago
SG
Electrical Engineer
Socomec Group
Brampton, ON
- Full-time
This Electrical Engineer position will contribute to the system-level electrical design and development of high-power electrical systems (up to 2.5 MVA) for Uninterruptible Power Supply…
Added 3 hours ago
N
Senior DevOps Engineer
Nelnet
Mississauga, ON · CAN - MISSISSAUGA
- Full-time
We are looking for a DevSecOps Engineer that is responsible for provisioning, configuring, and monitoring the infrastructure resources for systems hosted in our Azure cloud environment. We…
Added 3 hours ago
Q
Forward Deployed Engineer
Quadric
Canada
- Full-time
…be supporting the product, you'll be inventing how edge-AI field engineering is…
Added 3 hours ago
L
Senior Software Engineer
LTM
ON · Ontario, Canada
- $100,000 to $110,000 USD / year
- Full-time
…Python and Angular to build and support modern cloudnative applications The ideal candidate should be comfortable working across both frontend and backend layers and possess handson…
Added 3 hours ago
H
Software Applications Engineer 4
HP
Vancouver, BC · Mississauga, ON
- Full-time
Typically has 10+ years of work experience, preferably in applications engineering, programming, or a related field.
Added 4 hours ago
A
System Test Engineer
Artech
Montreal, QC
- Contract
Perform functional, integration, regression, and performance testing across web, API, and cloud applications.
Added 4 hours ago
IP
Manager - Coating Technologies & Development
IMPACT Pump Solutions
Calgary, AB
- Full-time
Lead research and development involving new coatings, powders, materials, cladding applications, laser technologies, products, and manufacturing methods.

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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