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Added 9 mins ago
L
Legal Director
Lumentis
Innisfil, ON
- Full-time
Company Description Lumentis is a global designer and manufacturer of advanced automotive lighting solutions that enhance both safety and vehicle brand identity. With decades of experience…
Added 53 mins ago
PA
Applications Designer & Estimator
ProVantage Automation
Brantford, ON
- Full-time
As an Applications Designer/Estimator, you’ll play a key role in driving growth by shaping technical automation proposals for some of North America’s top packaging and manufacturing…
Added 1 hour ago
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Principal Structural Designer
Worley
Calgary, AB · Edmonton, AB
- Full-time
We are currently recruiting for a Principal Structural Designer. Our team includes world class experts and dynamic go-getters. This is a full-time position based in Calgary, Alberta.
Added 1 hour ago
EI
Mechanical Designer
Ecolab Inc.
Calgary, AB
- Full-time
As a Mechanical Designer at CoolIT, you will play a key role in the development of next generation Coolant Distribution Unit (CDU) products. You will be responsible for product design…
Added 2 hours ago
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Principal Designer- Material Handling
Fluor
Calgary, AB
- Full-time
Virta is a wholly owned subsidiary of Fluor and is looking to fill a Principal Designer- Material Handling role in its Calgary location. Virta is an industry leader in high performance…
Added 2 hours ago
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Principal Designer - Senior Bulk Material Handling
Fluor
Vancouver, BC
- Full-time
Added 2 hours ago
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Creative Director
Foundation
Remote, Canada
- $110,000 to $135,000 CAD / year
- Full-time
- Remote
Creative levelling. You define what each level of writer, designer, editor and producer looks like, and give input on their promotions.
Added 2 hours ago
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Product Builder / Senior Product Engineer - AI Products
15Rock
Toronto, ON
- Full-time
Enough design sense to ship a clean interface without a designer
Added 2 hours ago
EG
Senior Municipal Engineer
Egis Group
Calgary, AB · Toronto, Ontario
- $130,000 to $170,000 CAD / year
- Full-time
Proficiency with AutoCAD Civil 3D, MicroStation, InRoads, and OpenRoads Designer.
Added 2 hours ago
EG
Junior Highway Designer
Egis Group
Calgary, AB · North Bay, Ontario
- $50,000 to $70,000 CAD / year
- Full-time
We're looking for a detail-oriented and analytical Junior Highway Designer to join our growing team in Alberta. In this role, you will support the design and development of highway…
Added 3 hours ago
EI
Junior Highway Designer
Egis in Canada
Calgary, AB
- $50,000 to $70,000 CAD / year
- Full-time
We're looking for a detail-oriented and analytical Junior Highway Designer to join our growing team in Alberta. In this role, you will support the design and development of highway…
Added 3 hours ago
IW
Senior Manager, Solution Architect 1
IG Wealth Management
ON · Ontario, Canada
- Full-time
Prior experience operating as a solution architect or systems designer on complex initiatives.
Added 3 hours ago
EI
Senior Municipal Engineer
Egis in Canada
Calgary, AB
- $130,000 to $170,000 CAD / year
- Full-time
Proficiency with AutoCAD Civil 3D, MicroStation, InRoads, and OpenRoads Designer.
Added 3 hours ago
IW
Senior Manager, Solution Architect 1
IG Wealth Management
MB · Manitoba, Canada
- Full-time
Prior experience operating as a solution architect or systems designer on complex initiatives.
Added 4 hours ago
EI
User Experience Designer
ExcelGens, Inc.
Montreal, QC
- Contract
We are seeking a creative and user-focused UX Designer II to contribute to software design solutions across enterprise applications. The successful candidate will understand user needs,…
Added 4 hours ago
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Data Scientist
Raise
Calgary, AB
- Full-time
…Catalog, SQL Warehouses, Genie Code, and Lakeflow/Lakeflow Designer, to accelerate solution development while maintaining enterprise governance and technical…
Added 5 hours ago
FC
Principal Designer - Senior Bulk Material Handling
Fluor Corporation
Vancouver, BC
- Full-time
Added 5 hours ago
FC
Principal Designer- Material Handling
Fluor Corporation
Calgary, AB
- Full-time
Virta is a wholly owned subsidiary of Fluor and is looking to fill a Principal Designer- Material Handling role in its Calgary location. Virta is an industry leader in high performance…
Added 5 hours ago
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People AI Solutions Designer
McKesson
Mississauga, ON
- Full-time
The People AI Solutions Designer is the builder. Where the People AI Deployment Lead readies HR processes for automation, the Solutions Designer takes that readied work and builds it -…
Added 5 hours ago
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Data Modeler
Manpower
Calgary, AB
- Contract
…Catalog, SQL Warehouses, Genie Code, and Lakeflow/Lakeflow Designer where approved to accelerate development while maintaining enterprise…
Added 6 hours ago
HG
H&M Sales Advisor
H&M Group
Abbotsford, BC
- Part-time
Added 6 hours ago
DW
Graphic & Creative Designer
Designed Wealth Management
Toronto, ON
- Full-time
We are seeking a talented, imaginative, and versatile Graphic & Creative Designer to join our growing marketing team. We're looking for someone who combines strong design fundamentals with…
Added 6 hours ago
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Staff Software Developer / Développeur(se) logiciel principal(e)
Vention
Montreal, QC
- Full-time
Collaborate with stakeholders, including the team lead, tech lead, architects, product manager, UX/UI designer and senior executives
Added 7 hours ago
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Database developer Smartstream TLM SME Senior Engineer
Citi
Mississauga, ON
- Full-time
Prior experience with TLM WebConnect, TLM View, and TLM Control Process Designer, including custom control-process development.
Added 7 hours ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Welcome to the Jungle
Montreal, QC
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…

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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