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Added 2 mins ago
A
Support Systems Engineer - NAMER
Ashby
Canada
- Full-time
That’s why we’re searching for a Support Systems Engineer to become the long-term owner of our Support systems.
Added 1 hour ago
TC
Senior DevSecOps and Application Security SME
ThirdEye CyberSecurity
Regina, SK
- Contract
Collaborate with Cybersecurity, Platform, Applications, Cloud and Infrastructure teams, architecture, change management, application teams, vendors, and the Work Program Manager.
Added 1 hour ago
LH
SENIOR MICROSOFT SYSTEMS ADMINISTRATOR
Logic Hire Solutions LTD
ON · Ontario, Canada
- $110,000 to $160,000 CAD / year
- Full-time
…start making it better immediately. If you are the type of engineer who automates before you are asked, documents before you are required, and leads before you are promoted - we want…
Added 1 hour ago
LH
SENIOR MICROSOFT SYSTEMS ADMINISTRATOR
Logic Hire Solutions LTD
Toronto, ON
- $110,000 to $160,000 CAD / year
- Full-time
…start making it better immediately. If you are the type of engineer who automates before you are asked, documents before you are required, and leads before you are promoted - we want…
Added 3 hours ago
F
Lead Building Services Design Engineer
Fluor
Vancouver, BC
- Full-time
Added 3 hours ago
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Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
…Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data…
Added 3 hours ago
F
Principal Process Engineer - Power Projects
Fluor
Calgary, AB
- Full-time
The Principal Process Engineer – Power Projects provides process and thermal-cycle engineering leadership for gas-turbine-based simple-cycle, combined-cycle, and cogeneration projects,…
Added 3 hours ago
AI
Senior Level 3 AI Engineer – Copilot, ChatGPT, Grok, Claude & Gemini
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
We are seeking a Senior Level 3 AI Engineer to act as the first point of call for engineering issues across end user AI products - Microsoft Copilot, OpenAI ChatGPT, Anthropic Claude, Grok…
Added 3 hours ago
MC
Azure Databricks Cloud Migration & Platform Engineer (36101)
Myticas Consulting
Toronto, ON
- Contract
Azure Databricks Cloud Migration & Platform Engineer
Added 3 hours ago
MC
Cloud Platform Engineer – Terraform & Database Infrastructure (36050)
Myticas Consulting
Toronto, ON
- Contract
Cloud Platform Engineer – Terraform & Database Infrastructure
Added 3 hours ago
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Senior Databricks Data Platform Engineer
Brillio
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…
Added 3 hours ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 3 hours ago
HB
Platform Engineer / DevOps Engineer - Trading - $130,000-$250,000 CAD + Bonus
Hunter Bond
Montreal, QC
- $130,000 to $250,000 CAD / year
- Full-time
Job title: Platform Engineer / DevOps Engineer – Trading
Added 3 hours ago
TI
Senior Databricks Data Platform Engineer
Tekgence Inc
Canada
- Contract
We are looking for a Senior Databricks Data Platform Engineer with strong experience in Databricks platform administration, Unity Catalog, Terraform, and CI/CD automation. The candidate…
Added 3 hours ago
1
Product Builder / Senior Product Engineer - AI Products
15Rock
Toronto, ON
- Full-time
Our products include TrendCap, our research and analysis platform, and Novilo, our platform for the full bid lifecycle.
Added 4 hours ago
BT
Senior Director, Technical Development Lead, Device
BlueRock Therapeutics
Toronto, ON
- Full-time
…of cellular medicines. Utilizing our proprietary CELL+GENE™ platform, we direct cellular differentiation and genetically engineer cells to create transformative therapies for patients…
Added 4 hours ago
BT
Director, Supply Chain
BlueRock Therapeutics
Toronto, ON
- Full-time
…of cellular medicines. Utilizing our proprietary CELL+GENE™ platform, we direct cellular differentiation and genetically engineer cells to create transformative therapies for patients…
Added 4 hours ago
T
Quality Engineer I
TD
Toronto, ON
- Full-time
…with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future…
Added 5 hours ago
AC
Data Engineer - Snowflake, dbtCore/Cloud, AWS
Aviva Canada
Markham, ON
- Full-time
Aviva Canada is looking for a Data Engineer to support our enterprise data modernization journey. You’ll use your expertise across modern and legacy platforms to build robust data pipelines…
Added 5 hours ago
T
Engineer I
TD
Mississauga, ON · Toronto, ON
- Full-time
About This Role: We are looking for a Cybersecurity engineer with admin level knowledge and experience working on enterprise Security Information and Event management (SIEM) tools. Although…
Added 5 hours ago
SR
Platform Engineer
Swim Recruiting
Vancouver, BC
- $60 to $70 CAD / hour
- Contract
6-month contract Observability Engineer role with a global enterprise organization working within their rapidly growing engineering team.
Added 5 hours ago
T
Engineer I
TD
Toronto, ON
- Full-time
About This Role: We are looking for a Cybersecurity engineer with admin level knowledge and experience working on enterprise Security Information and Event management (SIEM) tools. Although…
Added 5 hours ago
SG
Application Support
Societe Generale
Montreal, QC
- Full-time
You will monitor and take appropriate actions required to ensure CEQ global platform runs properly
Added 5 hours ago
LC
Staff Data Engineer - Retail Media Platform
Loblaw Companies Limited
Toronto, ON
- Full-time
As a Staff Data Engineer on the Retail Media Platform team, you will lead the design and evolution of large-scale data platforms and backend systems supporting measurement, reporting,…
Added 5 hours ago
AI
Principal Consultant – AWS Data Platforms & Agentic AI
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Industrialize Amazon QuickSight through dataset automation, SPICE optimization, security integration and platform governance.

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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