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Added 2 months ago
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Senior Software Engineer- Big Data & Java
PointClickCare
Mississauga, ON
- $142,000 to $158,000 CAD / year
- Full-time
Experience in writing clean code that performs well at scale using languages such as Python, Java etc.
Added 2 months ago
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Senior Site Reliability Engineer I
Braze
Toronto, ON
- Full-time
This Senior SRE role is specifically focused on supporting the Braze Ruby on Rails monolith and our growing fleet of Go API services. This position is embedded with product engineering…
Added 2 months ago
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Senior Site Reliability Engineer I
Braze
Vancouver, BC
- Full-time
This Senior SRE role is specifically focused on supporting the Braze Ruby on Rails monolith and our growing fleet of Go API services. This position is embedded with product engineering…
Added 2 months ago
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Platform Engineer
Bay Street Staffing
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for a Senior Platform Engineer to join a leading Bank’s Technology Infrastructure / Cloud Platform Engineering team. This is an exciting opportunity to design, build, and…
Added 2 months ago
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Senior AI Engineer, Agentic Healthcare Platform
TechDoQuest
Canada
- Contract
Strong production experience with Python, asynchronous programming, backend APIs, and service-oriented architecture.
Added 2 months ago
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Senior Infrastructure Engineer (Toronto)
The Redesign Group
Toronto, ON
- $120,000 to $160,000 CAD / year
The Senior Infrastructure Engineer is responsible for designing and leading the delivery of customer infrastructure solutions within the professional services organization. This role…
Added 2 months ago
Consultant senior - Modernisation des applications | Sr. Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
…closely with customers to design, develop, implement and re-engineer applications to fully leverage the AWS Cloud, including GenAI-accelerated modernization techniques. You'll be a key…
Added 5 months ago
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Full Stack Developer – Product Engineering
Showpass
Calgary, AB
- Full-time
Level: Intermediate to Senior, based on experience. We are currently looking to fill multiple positions within this role.
Added 2 months ago
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Sr. Software Engineer, Data Platform
Enurgen
Remote, Canada
- $155,000 to $180,000 CAD / year
- Full-time
- Remote
5+ years (Senior) building production software, ideally data-intensive systems
Added 2 months ago
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Full Stack Engineer Remote
Alexander Chapman
Canada
- Full-time
This Senior Full Stack Engineer will own product development end-to-end while helping define engineering standards in an AI-native development environment.
Added 2 months ago
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Air Quality, Noise and Vibration Engineer Intern/Co-op
Arcadis
Waterloo, ON
- Part-time
Arcadis is seeking an Air Quality, Noise and Vibration Engineer Intern/Co-op to join our Air Quality and Noise and Vibration team in Waterloo, ON for a 4- or 8-month co-op beginning in…
Added 2 months ago
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Cybersecurity - Cloud Security - Manager (Cloud Security Specialist)
EY
Edmonton, AB
- Full-time
…identify risks within engagements and raise any issues with senior members of the…
Added 2 months ago
E
Cybersecurity - Cloud Security - Manager (Cloud Security Specialist)
EY
Vancouver, BC
- Full-time
…identify risks within engagements and raise any issues with senior members of the…
Added 2 months ago
E
Cybersecurity - Cloud Security - Manager (Cloud Security Specialist)
EY
Montreal, QC
- Full-time
…identify risks within engagements and raise any issues with senior members of the…
Added 2 months ago
E
Cybersecurity - Cloud Security - Manager (Cloud Security Specialist)
EY
Toronto, ON
- Full-time
…identify risks within engagements and raise any issues with senior members of the…
Added 2 months ago
E
Cybersecurity - Cloud Security - Manager (Cloud Security Specialist)
EY
Calgary, AB
- Full-time
…identify risks within engagements and raise any issues with senior members of the…
Added 2 months ago
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Junior Digital-Analog PCB Engineer/Designer
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
The Junior Digital-Analog PCB Engineer/Designer will be part of a team of hardware designers working on the design, implementation, and validation of mixed signal (Digital & RF) electronics…
Added 2 months ago
Senior Software Test Engineer
Coursera Sourcing
Toronto, ON
As a Senior Software Test Engineer (Test Infrastructure and Tooling) at Coursera, you’ll play a key role in helping teams produce high-quality software for millions of learners across the…
Added 2 months ago
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Senior Software Engineer, AI
Calabrio
Canada
- Full-time
Calabrio-Verint is looking for a highly skilled and experienced Senior Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer…
Added 3 months ago
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Quality Assurance Automation Engineer
Synechron
Calgary, AB
- $85,000 to $90,000 CAD / year
- Full-time
We are seeking a highly skilled and adaptable Senior QA Automation Engineer (SDET) to join our dynamic, global QA team. The ideal candidate thrives in fast-paced, ever-evolving environments…
Added 2 months ago
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Software Development Co-op
commonsku
Remote, Canada
- $3,500 to $4,800 CAD / month
- Full-time
- Remote
Develop and maintain APIs and services using PHP and Python
Added 2 months ago
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Technical Support Engineer
VGS
Canada
- Full-time
Serve as the senior decision-maker for the Support team during PT business hours. Escalations, judgment calls, and approvals land with you. You're the person on shift with the standing to…
Added 2 months ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact
Montreal, QC
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…
Added 2 months ago
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Senior Design Verification Engineer
Cognichip
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
We are seeking a Senior Design Verification Engineer who can combine strong verification expertise with applied AI/ML collaboration to help build production-grade tools for chip…
Added 2 months ago
Transformation Engineer - Software Development, AI & Quality Engineering
Fitch Group
Toronto, ON
Fitch Group is seeking a hands-on Transformation Engineer with strong expertise in software development, AI-enabled engineering, and modern quality practices. This role will focus on…

Artefact

Senior Forward Deployed Engineer (Gemini Enterprise)

Montreal, QC, Canada

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Job details

Posting language: English
Posted: Sep 1, 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 agentic systems, RAG pipelines, and user-facing interfaces. You will work embedded with clients to deploy production-grade AI solutions while maintaining high standards for reliability and performance.

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 a relevant field is required, along with strong proficiency in Python and TypeScript.

Skills

Gemini Enterprise
Vertex AI
Python
TypeScript
React
RAG
Agentic systems
Data engineering
Cloud infrastructure
GCP
API development
Machine learning
Software engineering
Prompt engineering
CI/CD
Vector search

Benefits

Professional development support
Certification sponsorship
Global team collaboration

Visa sponsorship

Not detected in the job text

Keywords

Gemini Enterprise
Vertex AI
Google Cloud Platform
Python
TypeScript
React
RAG
Agentic AI
BigQuery
Data Engineering
Machine Learning
LLM
API
Terraform
CI/CD
Vector Databases
Software Engineering
Consulting
Artificial Intelligence
Cloud Infrastructure
Prompt Engineering
LangGraph
LangChain
MCP
Observability
Containerization
Serverless
Data Pipelines
Governance
Auditability

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