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Added 11 mins ago
PC
Forensic and Dispute Services Senior Manager (Bilingual FR/EN)
PwC Canada
Montreal, QC
- Full-time
…work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited…
Added 11 mins ago
CC
Senior Manager, Regional Service
Canon Canada
Montreal, QC
- Full-time
Performance & Talent Development: Establish clear regional KPIs, conduct structured performance evaluations, and provide coaching to build team capabilities for evolving service models.
Added 11 mins ago
PC
Forensic and Dispute Services Senior Manager (Bilingual FR/EN)
PwC Canada
Quebec, QC
- Full-time
…work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited…
Added 11 mins ago
OG
Vice President of Operations / Chief Operating Officer - Canada, GreyOwl
Onni Group of Companies
Vancouver, BC
- Full-time
Support major client relationships, proposals and strategic business-development opportunities where senior operational leadership is required.
Added 25 mins ago
T
Manager, Digital Marketing Delivery - 12-month contract - Tangerine
Tangerine
Toronto, ON
- Contract
Partner cross-functionally within Marketing, Client experience, customer insights, product management, contact centers, etc. to effectively develop and execute growth and retention focused…
Added 26 mins ago
RB
Senior Director, Data Architecture & Engineering
Royal Bank of Canada
Toronto, ON
- Full-time
…every critical data element. Own the canonical data model and business glossary alignment. Set the standard for producer data contracts covering schema, semantics, quality rules and SLAs,…
Added 40 mins ago
B
Graphic Designer
BGBx
Canada
- Full-time
…breakthrough impact. As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives,…
Added 40 mins ago
T
Senior Project Manager (Experiential Production)
THE·TEAM
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…a pivotal role in the successful end-to-end delivery of our client accounts and events, owning client relationships, as well as supporting our integrated Experience team client roster. It’s…
Added 40 mins ago
M
Client Relationship Management - Lead Specialist
Marsh
Montreal, QC
- Full-time
We are seeking a talented individual to join our Client Relationship Management team, part of our Affinity business at Marsh. This role will be based in Montreal Quebec. This is a hybrid…
Added 40 mins ago
MS
Delivery Experience Supervisor
Metro Supply Chain
Mississauga, ON
- Full-time
Metro Supply Chain is a strategic supply chain solutions partner to some of the world's fastest growing and most reputable organizations. For 50 years, it has excelled at tailoring…
Added 40 mins ago
CM
Search Lead
Critical Mass
Toronto, ON
- Full-time
…Search strategy and delivery for a leading financial-services client. The role brings together search engine optimization (SEO), generative engine optimization (GEO), and AI Search to turn…
Added 41 mins ago
Agency Partner Manager
Reddit
Toronto, ON
As an Agency Development Partnerships Manager at Reddit, you will play a key role on the Agency Development Team, working with the Agency Leads, the world’s largest Holding Companies and…
Added 41 mins ago
Branch Manager, Vancouver
Odlum Brown
Vancouver, BC
Partner with Practice Management and Sales Leadership on advisor onboarding, succession planning, and talent development
Added 41 mins ago
FH
Leader, Strategic Transformation (Quality & Safety)
Fraser Health
Surrey, BC
- Full-time
Bring your initiative, client service focus, systems level thinking and leadership skills to our dynamic team of seasoned project and change professionals. This Leader role is aligned to…
Added 41 mins ago
FH
Leader, Strategic Transformation (Workday and Business Transformation)
Fraser Health
Surrey, BC
- Full-time
Bring your initiative, client service focus, systems level thinking and leadership skills to our dynamic team of seasoned project and change professionals. This Leader role is aligned to…
Added 56 mins ago
T
Personal Banker Trainee
TD
Wetaskiwin, AB
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 56 mins ago
T
Customer Experience Associate - Monkland & Melrose
TD
Montreal, QC
- Part-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 56 mins ago
T
Senior Finance Analyst
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 56 mins ago
T
Product Control Analyst
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 56 mins ago
T
Personal Banker Trainee
TD
Calgary, AB
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 56 mins ago
T
Customer Experience Associate - Atateken
TD
Montreal, QC
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 56 mins ago
HR
Beauty Advisor, Chantecaille
Holt Renfrew
Vancouver, BC
- Full-time
…dental benefits, tuition assistance, and continuous learning and…
Added 56 mins ago
Senior Strategist
Ogilvy
Toronto, ON
…initiatives for clients and brands and serves as a key strategic partner for day-to-day requests on strategic needs. This role is a key internal support for both Account Services and…
Added 56 mins ago
C
Network Technical Project Manager, Vice President
Citi
Mississauga, ON · Toronto, ON
- Full-time
…platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient…
Added 56 mins ago
C
Financial Services Associate
CIBC
Surrey, BC
- Full-time
As a member of the Personal and Business Banking Team, you’ll partner with Financial Advisors to help high value clients secure their futures and set up their businesses. As a Financial…

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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