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Added 4 mins ago
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Civil Project Engineer/ Project Manager
EXP
Markham, ON
- Full-time
Be our next Civil Project Engineer/ Project Manager!
Added 4 mins ago
Senior Renewable Power Engineer
Hatch
Mississauga, ON
…of business and technical expertise in mining, energy, and infrastructure, our 10,000 colleagues in 150 countries tirelessly work toward bettering the industries in which we operate. With…
Added 4 mins ago
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Manager, Alberta, Electrical
AtkinsRéalis
Calgary, AB
- Full-time
Serve as Project Manager, Discipline Lead, or Design Engineer on projects in various markets.
Added 4 mins ago
A
Manager British Columbia, Mechanical
AtkinsRéalis
Vancouver, BC
- Full-time
Serve as Project Manager, Discipline Lead, or Design Engineer on projects in various markets.
Added 19 mins ago
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Senior Forward Deployed Engineer
Justworks
Toronto, ON
- $167,500 to $235,000 CAD / year
As a Forward Deployed Engineer, you will work closely with business leaders, operators, and frontline teams to identify where AI can make the biggest impact, redesign organizational…
Added 19 mins ago
TB
Senior DevOps Engineer (SRE / Platform Engineering)
TLNT Bridge Recruiting
Vancouver, BC
- Full-time
They are continuing to invest in their infrastructure and platform capabilities and are looking for a talented Senior DevOps Engineer with a strong Site Reliability Engineering (SRE)…
Added 19 mins ago
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Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Collaborate with cross-functional teams including SOC, threat hunters, infrastructure, and cloud teams to support delivery and ensure quality standards.
Added 19 mins ago
VS
Software Systems Engineer - Interferometry/microscopy
VIAVI Solutions
Ottawa, ON
- Full-time
…manufacturing use. We are hiring a full-stack software and systems engineer to own the software for our industrial microscopy inspection appliance and its companion PC application, from…
Added 19 mins ago
DevOps Engineer - Game Developer Experience
Electronic Arts
Vancouver, BC
Develop automated tests to validate changes to EA's game build infrastructure before they impact development teams.
Added 19 mins ago
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Technical Engineer
JFE Shoji Power Canada Inc.
Burlington, ON
- Full-time
…are also used in electric vehicle motors and charging station infrastructure, data centres, audio equipment, and other industrial…
Added 19 mins ago
AI
Security Engineer – SIEM, EDR, IAM & Cloud Security
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
Collaborate with infrastructure, cloud, application, and DevOps teams to integrate security best practices.
Added 19 mins ago
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Project Accountant
Accenture Construct
Toronto, ON
- Full-time
…data centers, power grids, rail networks, factories and public infrastructure that keep communities moving - smarter, safer and more…
Added 19 mins ago
KG
Technical Support Engineer
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Contract
Infrastructure Support: "Smart hands" support capabilities for local Server and Network room equipment (cabling, racking, physical resets).
Added 19 mins ago
ZS
Azure Databricks Platform engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
The engineer will work closely with data engineering, cloud infrastructure, security, networking, DevOps, and application teams to provide a secure, scalable, governed, reliable, and…
Added 19 mins ago
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DevOps Engineer
TEEMA
Montreal, QC
- $65 to $77 CAD / hour
- Contract
…hands-on technical development, DevSecOps automation, cloud infrastructure, and solution…
Added 34 mins ago
AI Engineer
Eclipse Automation
Cambridge, ON
We need a AI Engineer who can turn architecture and technical plans into secure, reliable, production-ready solutions. Approximately 70–80% of the role will focus on AI systems, agents,…
Added 34 mins ago
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Java Developer or Python Developer with Data Lineage and meta data
I8IS - Infiniti Software Solutions
Mississauga, ON
- Full-time
Readability and maintainability - code and designs the next engineer can understand, extend, and debug.
Added 35 mins ago
TB
Senior DevOps Engineer (SRE / Platform Engineering)
TLNT Bridge Recruiting
Vancouver, BC
- $113,900 to $147,000 CAD / year
- Full-time
They are continuing to invest in their infrastructure and platform capabilities and are looking for a talented Senior DevOps Engineer with a strong Site Reliability Engineering (SRE)…
Added 35 mins ago
II
Embedded Electrical Engineer
Intero Integrity
Toronto, ON
- Full-time
…that for a company whose technology helps keep critical energy infrastructure…
Added 35 mins ago
ZS
DevOps Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Experience in setting up infrastructure and architecture for DevOps tools such as Git, Jenkins, Ansible, Azure ARM templates, AWS Cloud Formation etc. including ongoing support
Added 49 mins ago
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Junior Hydrogeologist/Geologist
Onterris
Calgary, AB · CAN-Alberta-Calgary
- Full-time
…groundwater, and environmental projects across our mining, infrastructure, energy and municipal sector work. Working closely with senior geoscientists and engineers, you will gain hands-on…
Added 49 mins ago
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Sr. Software Engineer - DevEx
VGS
Canada
- Full-time
Mission-Critical Accountability: We power payments infrastructure for global market leaders, making system trust and integrity our core deliverable. We don't treat compliance (PCI, SOC2,…
Added 49 mins ago
IC
Compiler Engineer for AI Tile-based DSL
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
As a Compiler Engineer at Intel, you will design, develop, test, and optimize cutting-edge compiler technologies tailored to Intel architectures, with a focus on compiler middle-end and…
Added 1 hour ago
A
Director, Digital & Information Management
AtkinsRéalis
Mississauga, ON · Toronto, ON
- Full-time
…connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants,…
Added 1 hour ago
Senior Bridge Manager
Hatch
Vancouver, BC
…of business and technical expertise in mining, energy, and infrastructure, our 10,000 colleagues in 150 countries tirelessly work toward bettering the industries in which we operate. With…

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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