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Added 7 mins ago
Data Engineer - Snowflake, dbtCore/Cloud, AWS
Aviva
Markham, ON
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 7 mins ago
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Engineer or Engineer-In-Training, Processing, Water Operations
Glencore
Sparwood, BC
- $91,300 to $126,800 CAD / year
- Full-time
Reporting to the Senior Engineer, Process, the Engineer/EIT, Processing, Water Operations, is responsible for process data analysis and execution of continuous improvement initiatives at…
Added 8 mins ago
ST
Multiple Automation Tester Role
Silverlink Technologies
Brampton, ON
- Contract
Platform Features: AI failure classification, automated RCA, video quality analysis, and explainability/audit trails.
Added 37 mins ago
Senior Developer
Scotiabank
Toronto, ON
The Product Onboarding team is seeking a hands-on Senior Engineer to design and deliver modern, cloud-native onboarding applications using JavaScript, TypeScript, MongoDB, Express.js,…
Added 37 mins ago
A
Manager, Alberta, Electrical
AtkinsRéalis
Calgary, AB
- Full-time
Ensure alignment with client expectations and internal quality standards.
Added 37 mins ago
A
Manager British Columbia, Mechanical
AtkinsRéalis
Vancouver, BC
- Full-time
Ensure alignment with client expectations and internal quality standards.
Added 37 mins ago
Staff Manufacturing Engineer
Tenstorrent
Toronto, ON
We're looking for a Staff Manufacturing Engineer to help build Tenstorrent's in-house ability to launch, stabilize and recover our hardware products as they scale across contract…
Added 52 mins ago
CF 18 AME (S) Level A
L3Harris Technologies
Cold Lake, AB
…(Hornet) Fighter Aircraft Program. The Aircraft Maintenance Engineer (AME M) supports aircraft availability and airworthiness through the performance of propulsion, powertrain, and…
Added 52 mins ago
CF 18 AME (M) Level A
L3Harris Technologies
Cold Lake, AB
…(Hornet) Fighter Aircraft Program. The Aircraft Maintenance Engineer (AME M) supports aircraft availability and airworthiness through the performance of propulsion, powertrain, and…
Added 52 mins ago
J
Senior Forward Deployed Engineer
Justworks
Toronto, ON
- $167,500 to $235,000 CAD / year
Ship agents to production. Deploy agents, define evals for every workflow, re-run evals after model or data changes. Monitor quality, cost, latency, and outcomes. Stay close to team needs…
Added 52 mins ago
P
Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
…systems, and provide proactive solutions to safeguard sensitive…
Added 52 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 52 mins ago
JS
Technical Engineer
JFE Shoji Power Canada Inc.
Burlington, ON
- Full-time
Reporting to the Technical Director, the Technical Engineer is responsible for independently reviewing, validating, and approving technical outputs to ensure accuracy, manufacturability,…
Added 52 mins ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.
Added 52 mins ago
QI
Automation Control Engineer
Quickmill Inc
Peterborough, ON
- Full-time
…equipment, nuclear, and oil and gas. We take pride in our ability to engineer custom solutions that enhance production efficiency and reliability. At Quickmill, we foster a collaborative…
Added 52 mins ago
A
Information Technology - Senior/Lead, Data Visualization Engineer, Product Business Technology
Aritzia
Vancouver, BC
- Full-time
…designing, implementing, and continuously improving technology, data, analytics, and AI solutions in support of our Planning, Buying, Allocation and Pricing workflows. As the Senior Lead…
Added 52 mins ago
GT
Sr QA Engineer (POS)
GSPANN Technologies, Inc
Vancouver, BC
- Contract
Senior QA Engineer with experience across our in-store Point-of-Sale (POS) and mobility stack, including Oracle Xstore and Xmobile, to support application architecture, development and…
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
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 1 hour ago
I-
Java Developer or Python Developer with Data Lineage and meta data
I8IS - Infiniti Software Solutions
Mississauga, ON
- Full-time
Java Developer or Python Developer with Data Lineage and meta data
Added 1 hour ago
T
Senior Machine Learning Engineer
TEEMA
Toronto, ON
- Contract
Experience verifying data quality, and/or ensuring it via data cleaning.
Added 1 hour ago
V
Sr. Software Engineer - DevEx
VGS
Canada
- Full-time
…directly into their stack, taming the complexity of payment data so they can move…
Added 1 hour ago
CT
Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
We are seeking a highly technical and hands-on ML/AI Engineer to take end-to-end ownership of one of CTC's strategic customer intelligence platforms. The platform combines machine learning,…
Added 1 hour ago
C
Product Engineer (Cabico Coaticook)
Cabico
Sherbrooke, QC
- Full-time
Engineer our products with our plant’s and machines’ capabilities in mind, to build a quality product at the best cost and in the shortest lead time.
Added 1 hour ago
C
Product Engineer (Cabico Coaticook)
Cabico
Coaticook, QC
- Full-time
Engineer our products with our plant’s and machines’ capabilities in mind, to build a quality product at the best cost and in the shortest lead time.

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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