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Added 17 mins ago
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Supplier Quality Engineer
Actalent
Vancouver, BC
- $45 to $52 CAD / hour
- Contract
The Supplier Quality Engineer will be responsible for ensuring externally supplied components and assemblies meet engineering, quality, and manufacturing requirements. This individual will…
Added 17 mins ago
A
Junior Mechanical Test Engineer
Actalent
Vancouver, BC
- $28 to $33 CAD / hour
- Contract
The Mechanical Test Engineer will support design verification and product testing activities for complex medical devices and electromechanical products. This role focuses on ensuring…
Added 17 mins ago
A
Civil Engineer
Ausenco
Burlington, ON
- Full-time
We are seeking Civil Engineer - Earthworks to support our Mining & Metals team. In this role, you will contribute to the design, analysis, and delivery of mineral processing solutions…
Added 47 mins ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 2 hours ago
W
Principal Electrical Engineer
Worley
Vancouver, BC
- Full-time
…they meet today's needs and transition to more sustainable…
Added 2 hours ago
W
Graduate Technical Consultant, Environmental Scientist
Worley
Calgary, AB · Edmonton, AB
- Full-time
As a Junior Environmental Scientist, Engineer in Training, or Environmental Technologist, you will support the delivery of environmental assessment, remediation, reclamation,…
Added 3 hours ago
W
Principal Mechanical Engineer
Worley
Calgary, AB · Edmonton, AB
- Full-time
…they meet today's needs and transition to more sustainable…
Added 3 hours ago
W
Principal Piping Engineer
Worley
Calgary, AB · Edmonton, AB
- Full-time
The Principal Piping Engineer provides senior technical leadership and subject matter expertise in piping engineering across medium to large, complex capital projects. This role serves as a…
Added 3 hours ago
F
Lead Building Services Design Engineer
Fluor
Vancouver, BC
- Full-time
…on innovation and providing cost-effective technology-based solutions is second to none. As we look to the future, we need creative, ambitious, and innovative professionals who can help us…
Added 3 hours ago
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Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
Within Azure Data, the messaging and real-time analytics team provides comprehensive solutions and a robust platform that enables users to ingest high granularity signals (real-time &…
Added 3 hours ago
F
Principal Process Engineer - Power Projects
Fluor
Calgary, AB
- Full-time
…on innovation and providing cost-effective technology-based solutions is second to none. As we look to the future, we need creative, ambitious, and innovative professionals who can help us…
Added 3 hours ago
EG
Junior Highway Designer
Egis Group
Calgary, AB · North Bay, Ontario
- $50,000 to $70,000 CAD / year
- Full-time
…teams to deliver safe, efficient, and compliant transportation solutions. You will contribute to all phases of highway design, from preliminary planning through final construction…
Added 4 hours ago
BT
Senior Director, Technical Development Lead, Device
BlueRock Therapeutics
Toronto, ON
- Full-time
…platform, we direct cellular differentiation and genetically engineer cells to create transformative therapies for patients suffering from neurological and ophthalmological…
Added 4 hours ago
EI
Junior Highway Designer
Egis in Canada
Calgary, AB
- $50,000 to $70,000 CAD / year
- Full-time
…teams to deliver safe, efficient, and compliant transportation solutions. You will contribute to all phases of highway design, from preliminary planning through final construction…
Added 4 hours ago
T
Quality Engineer I
TD
Toronto, ON
- Full-time
Define and manage test environments and test data, including automated data provisioning and service virtualization for unavailable dependencies.
Added 4 hours ago
M365 Architect
EY
Toronto, ON
…leveraging Infrastructure as Code (IAC) where possible. The Engineer will also work with offshore colleagues to configure and deploy the various…
Added 4 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 4 hours ago
CE
Manufacturing & Process Engineer - Senior PMO / Change & Transformation Lead
Capgemini Engineering
Montreal, QC
- Full-time
…développer et à retenir les meilleures personnes afin de fournir des solutions innovantes et de classe mondiale à nos clients. Nous encourageons une culture inclusive qui permet à chacun de…
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
C
Senior Software Engineer, Search
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
…is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an…
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
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
RV
Principal FPGA & Hardware Developer
Ross Video
Ottawa, ON · Nepean, ON
- Full-time
Join the Hyperconverged Solutions R&D team to develop FPGA, SoC, and high-speed hardware for professional live-video platforms. We are seeking a hands-on developer who can work across board…
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
You are neither a strategy-only Enterprise Architect nor solely a delivery-focused Data Engineer.
Added 5 hours ago
VS
Senior Machine Learning Engineer
vTech Solution Canada
Toronto, ON
- Contract
The Senior Machine Learning Engineer will deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices. The role will establish reusable…

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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