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Added 27 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 43 mins ago
PC
Privacy, Legal Counsel Manager
PwC Canada
Toronto, ON
- Full-time
Added 1 hour ago
OW
Oliver Wyman- Private Capital/Industrials- Senior Consultant/Associate
Oliver Wyman Group
Toronto, ON
- Other
Senior Consultants executes work stream(s) from start to finish, including structuring and solving problems, synthesizing and communicating insights / recommendations and work planning.…
Added 1 hour ago
W
Principal Electrical Engineer
Worley
Vancouver, BC
- Full-time
Provide technical leadership and mentoring to junior, intermediate and senior electrical engineers and designers.
Added 1 hour ago
W
Principal Structural Designer
Worley
Calgary, AB · Edmonton, AB
- Full-time
As a Principal Structural Designer, you will serve as a senior technical authority and design leader for structural design activities across complex, large-scale, and high-value projects.…
Added 2 hours ago
S
Account Executive, Enterprise (Restaurants)
Solink
Remote, Canada
- $240,000 to $300,000 CAD / year
- Full-time
- Remote
Added 2 hours ago
Art Director
Clutch Technologies Inc.
Toronto, ON
Comprehensive health, dental, and vision benefits from day one, plus room to grow into senior creative leadership as the team scales.
Added 2 hours ago
M
Director, Sales
Microsoft
Toronto, ON
- Full-time
Leveraging your large, multi-functional team across the breadth of the Microsoft product portfolio, engage at the most senior levels of your customer and deliver industry-relevant solutions…
Added 3 hours ago
PC
Corporate Finance Senior Associate (Bilingual FR/EN)
PwC Canada
QC · Clarke City, QC
- Full-time
As a Corporate Finance Senior Associate (Bilingual FR/EN) , you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high-quality client service and…
Added 3 hours ago
MC
Microsoft Dynamics 365 Finance Functional Consultant – D365 F&O | Manufacturing (35742)
Myticas Consulting
Toronto, ON
- Contract
Work collaboratively with senior Finance leadership, including the CFO.
Added 3 hours ago
J
DevOps Technical Lead / Architect - Azure & Terraform
Jobgether
Canada
- $150,000 to $165,000 CAD / year
- Full-time
Previous experience working as a technical lead, DevOps architect, or in a comparable senior engineering leadership position.
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
1
Product Builder / Senior Product Engineer - AI Products
15Rock
Toronto, ON
- Full-time
You can walk a senior client through your work and answer hard questions about it.
Added 3 hours ago
PC
Forensic & Dispute Services Senior Associate (Bilingual FR/EN)
PwC Canada
Montreal, QC
- Full-time
As a Forensic & Dispute Senior Associate (Bilingual FR/EN), you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and…
Added 3 hours ago
WC
Senior Manager, Merchandising Planning
Walmart Canada
Mississauga, ON
- Full-time
Position Summary...The Senior Manager, Merchandising Planning leads the strategy, planning, and execution of merchandising programs, driving sales, profit, and inventory objectives while…
Added 3 hours ago
PC
Forensic and Dispute Services Senior Manager (Bilingual FR/EN)
PwC Canada
Montreal, QC
- Full-time
As a Forensic and Dispute Services Senior Manager (Bilingual FR/EN), you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service…
Added 3 hours ago
PC
Forensic and Dispute Services Senior Manager (Bilingual FR/EN)
PwC Canada
Quebec, QC
- Full-time
As a Forensic and Dispute Services Senior Manager (Bilingual FR/EN), you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service…
Added 3 hours ago
M365 Architect
EY
Toronto, ON
Excellent collaboration and presentation skills, and the confidence to challenge senior colleagues and stakeholders from a diverse range of backgrounds
Added 4 hours ago
T
Manager, Digital Marketing Delivery - 12-month contract - Tangerine
Tangerine
Toronto, ON
- Contract
The Digital Marketing Delivery Manager will report directly to the Senior Manager, Digital Marketing Delivery.
Added 4 hours ago
PC
Forensic & Dispute Services  Senior Associate (Bilingual FR/EN)
PwC Canada
Montreal, QC
- Full-time
As a Forensic & Dispute Senior Associate (Bilingual FR/EN), you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and…
Added 4 hours ago
PC
Forensic & Dispute Services  Senior Associate (Bilingual FR/EN)
PwC Canada
Quebec, QC
- Full-time
As a Forensic & Dispute Senior Associate (Bilingual FR/EN), you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and…
Added 4 hours ago
PC
Corporate Finance Senior Associate (Bilingual FR/EN)
PwC Canada
Quebec, QC
- Full-time
As a Corporate Finance Senior Associate (Bilingual FR/EN) , you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high-quality client service and…
Added 4 hours ago
PC
Senior Associate, Salesforce Technical Consultant
PwC Canada
Ottawa, ON
- Full-time
…opportunities for exceptional people to join the team at the Senior Associate level. We are looking to appoint our future leaders… people who want to demonstrate their technical capability……
Added 4 hours ago
Senior Strategist
Ogilvy
Toronto, ON
The Senior Strategist is responsible for leading high-impact strategic initiatives for clients and brands and serves as a key strategic partner for day-to-day requests on strategic needs.…
Added 4 hours ago
Manager, Digital Marketing Delivery - 12-month contract - Tangerine
Scotiabank
ON · Toronto, ON
The Digital Marketing Delivery Manager will report directly to the Senior Manager, Digital Marketing Delivery.

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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