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Added 2 months ago
GA
Senior Project Engineer
Give and Go Prepared Foods
Toronto, ON · Etobicoke, ON
- $98,000 to $148,000 CAD / year
- Full-time
Continuously learn and develop the technical, project management and leadership skills needed to support a wide range of projects across the areas of Product Development, Continuous…
Added 2 months ago
S
Senior Estimator
STRABAG
Mississauga, ON
- Full-time
Project Handover & Business DevelopmentParticipate in successful project turnover meetings with operations teams.Assist Project Managers with procurement strategies and budget…
Added 1 month ago
JC
Product Design Engineer
Johnson Controls
Edmonton, AB · SA - Edmonton Orion
- Full-time
As a Product Design Engineer, you will lead complex product design and development work - driving robust, manufacturable solutions, providing technical guidance to junior engineers and…
Added 1 month ago
A
Senior Process Engineer - Water/Wastewater Treatment
AECOM
Winnipeg, MB
- $125,000 to $180,000 CAD / year
- Full-time
The Water Division of AECOM has an exciting career opportunity for a Senior Process Engineer - Water/Wastewater Treatment with extensive experience in the design and delivery of water…
Added 1 month ago
GC
Land Development Project Manager (26057)
GEMTEC Consulting Engineers and Scientists Limited.
Bowmanville, ON
- Full-time
GEMTEC is looking for a Intermediate or Senior level Land Development Project Manager within our Clarington Office as we continue to service our clients in land development, municipal, and…
Added 1 month ago
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Senior Technical Account Manager
Docker
Remote, Canada
- Full-time
- Remote
…software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure…
Added 1 month ago
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Senior Civil Engineer - Land Development
WSP
Edmonton, AB
- Full-time
Build the Future with Us – As a Senior Civil Engineer in our Edmonton Land Development team, you’ll help shape the next generation of communities across Edmonton and beyond. You’ll lead…
Added 2 months ago
C
Senior Software Engineer, AI
Calabrio
Canada
- Full-time
Calabrio-Verint is looking for a highly skilled and experienced Senior Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer…
Added 2 months ago
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Lead Process Engineer
Brightsmith
Vancouver, BC
- Full-time
…engineering team, making this an excellent opportunity for a strong Senior or Lead Process Engineer looking to step into broader technical and people…
Added 4 months ago
TG
Technical Sales Manager / Sales Engineer
TES Group Inc.
Sherwood Park, AB
- Full-time
…equipment business across Western Canada. It finds and wins project opportunities for fired and unfired pressure equipment - Once-Through Steam Generators (OTSG), Waste Heat Recovery…
Added 2 months ago
PC
Senior Hydrotechnical Engineer
PRI Consultants
Vancouver, BC
- Full-time
PRI is looking for a Senior Hydrotechnical Engineer to help lead our Hydrotechnical practice. Dam safety and mining are central to this role, alongside flood hazard assessment and river…
Added 2 months ago
PC
Senior Geotechnical Engineer
PRI Consultants
Vancouver, BC
- Full-time
PRI is looking for a Senior Geotechnical Engineer to join our growing Vancouver & Calgary offices. This is a hands-on senior role: you will lead projects end to end, seal your own work, and…
Added 1 month ago
C
Software Development Co-op
commonsku
Remote, Canada
- $3,500 to $4,800 CAD / month
- Full-time
- Remote
🚀 About the Role: Software Development Co-op
Added 1 month ago
V
Technical Support Engineer
VGS
Canada
- Full-time
5+ years in Technical Support, Solutions Engineering, Technical Account Management, or Technical Project Management - with at least some of it in a senior or lead capacity.
Added 1 month ago
S
Senior Mechanical Engineer
Stantec
Ottawa, ON
- Full-time
An opportunity exists Ottawa, ON for a highly motivated Senior Mechanical Engineer to join our multidisciplinary team. In this role you will be responsible for the design and execution of…
Added 1 month ago
S
Stormwater Engineer
Stantec
Calgary, AB
- Full-time
We are seeking an Intermediate or Senior Stormwater Engineer for our Calgary office within our Community Development group. You will have the opportunity to work on team building, business…
Added 1 month 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 1 month ago
C
Senior Engineer - Roadway Design
CIMA+
Mississauga, ON
- $110,480 to $151,910 CAD / year
- Full-time
…years. Our talented team of professionals can lead any type of project, regardless of its complexity and scale. The team draws on a reservoir of diverse experience that includes planning,…
Added 2 months ago
ENGINEER
City of Toronto
Toronto, ON
Reporting directly to the Senior Engineer, Capital Delivery, Asset Strategy and Maintenance Planning (ASMP), the Engineer will support the implementation of Toronto Water’s Reliability…
Added 2 months ago
C
Lead Design Manager, for COWI in North America
COWI
Surrey, BC
- Full-time
Initially, this position specifically supports COWI’s role as the Owner’s Engineer (OE) for the new Fraser River Tunnel Project (FRTP). The FRTP project will replace the existing Massey…
Added 2 months ago
C
Lead Design Manager, for COWI in North America
COWI
North Vancouver, BC
- Full-time
Initially, this position specifically supports COWI’s role as the Owner’s Engineer (OE) for the new Fraser River Tunnel Project (FRTP). The FRTP project will replace the existing Massey…
Added 2 months ago
K
Cryogenic Engineer
Kinectrics
Toronto, ON
- Full-time
…company thanks to a number of significant training and personal development…
Added 2 months ago
B
Technical Expert Senior, Engineering, Interior Completions Cabin Systems
Bombardier
Dorval, QC
- Full-time
…our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are…
Added 2 months ago
SS
Senior Java Software Engineer
Soho Square Solutions
Montreal, QC
- Contract
Leverage Generative AI tools and coding assistants to enhance development velocity and solution quality.
Added 2 months ago
A
Project Manager / Senior Engineer - Municipal Linear Infrastructure
Arcadis
Markham, ON
- Full-time
We are seeking a Senior Project Manager / Senior Engineer (or Senior Designer) with deep, hands-on experience in municipal linear infrastructure projects within the GTA.

Artefact

Senior Forward Deployed Engineer (Gemini Enterprise)

Montreal, QC, Canada

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Job details

Posting language: English
Posted: Sep 1, 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 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

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