Jobs in Canada

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Added 1 day ago
J
Forward Deployed Engineer, Data Engineering & Architecture
Jobgether
Canada
- $130,000 to $150,000 CAD / year
- Full-time
…all applications and next steps. Our partner is looking for a Forward Deployed Engineer, Data Engineering & Architecture based in…
Added 1 day ago
J
Forward Deployed Engineer, Data Engineering & Architecture
Jobgether
Canada
- $130,000 to $150,000 CAD / year
- Full-time
…all applications and next steps. Our partner is looking for a Forward Deployed Engineer, Data Engineering & Architecture based in…
Added 1 day ago
E
AI Engineer, Trust & Evaluation
Equinix
Toronto, ON
- Full-time
Works with AI engineers, product managers, forward-deployed engineers, platform and security teams. Turns the needs of agent builders into platform features. Explains results, defects and…
Added 1 day ago
D
Forward Deployed Engineer, Data Engineering & Architecture
dentalcorp
Toronto, ON · Support Centre - Toronto Office
- Full-time
The Forward Deployed Engineer, Data Engineering & Architecture works directly with business and technology teams to identify operational challenges and turn them into scalable, data-driven…
Added 1 day ago
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Solutions Engineer
Lazer
Remote, Canada
- Full-time
- Remote
We are a remote-first organization headquartered in Toronto, Ontario, with employees worldwide. We believe in providing the best experience possible for all Lazerites by fostering a strong…
Added 2 days ago
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Forward Deployed Engineer, Ads
Gigi
Toronto, ON
- Full-time
We work together downtown Toronto (min 4x days per week), but makers (i.e
Added 3 days ago
Senior Manager, Forward Deployed AI Engineer
Clearsulting
Canada
Clearsulting is headquartered in Toronto, Ontario. Other cities are welcome remotely.
Added 3 days ago
BC
Forward Deployed AI Engineer, Canada - BCG X
Boston Consulting Group
Toronto, ON · Montreal, QC
- Full-time
As a Forward Deployed AI Engineer you’ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You’ll have the chance to partner with…
Added 3 days ago
BX
Forward Deployed AI Engineer, Canada - BCG X
BCG X
Toronto, ON
- Full-time
As a Forward Deployed AI Engineer you’ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You’ll have the chance to partner with…
Added 3 days ago
BX
Forward Deployed AI Engineer, Canada - BCG X
BCG X
Montreal, QC
- Full-time
As a Forward Deployed AI Engineer you’ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You’ll have the chance to partner with…
Added 3 days ago
Toronto - Forward Deployed Engineer - Rapid Innovation Lab
EY
Toronto, ON
We are seeking a high-performing Forward Deployed Engineer to join our Rapid Innovation Lab and rapidly prototype, validate, and deploy AI-powered solutions that transform how tax and…
Added 7 days ago
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Senior DevOps Engineer
Fig
Toronto, ON
- Full-time
Fig is expanding beyond lending and building a new generation of digital banking products. We're hiring a Senior Devops Engineer, reporting to the VP of Engineering, to build and operate…
Added 7 days ago
F
Senior DevOps Engineer
Fig
Toronto, ON
- Full-time
Fig is expanding beyond lending and building a new generation of digital banking products. We're hiring a Senior Devops Engineer, reporting to the VP of Engineering, to build and operate…
Added 7 days ago
KI
Senior Product Manager, AI Innovations Team, Operations Orchestration
Kinaxis Inc.
Canada
- Full-time
…completed agent run, environment sizing, partner pass-through, and forward-deployed engineering effort per phase. Set price floors and margin targets from it working with Kinaxis Finance…
Added 7 days ago
U
Forward Deployed Engineer
UST
Toronto, ON
- Full-time
A full-time, onsite engineer with 5+ years of production software experience and a working understanding of the semiconductor lifecycle, who can translate engineering needs into…
Added 8 days ago
D
Forward Deployed Engineer
Didero
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
We are looking for a new-graduate Forward Deployed Engineer to join our team in Toronto. This role is for a technically strong, curious engineer who wants to work directly with customers,…
Added 8 days ago
H
Senior Backend Engineer (Python/GCP)
Hays
Toronto, ON
- Contract
As a Senior Backend Engineer, you will be responsible for designing, building, and maintaining scalable backend services and APIs that support modern cloud-based applications. Working…
Added 8 days ago
EF
Forward Deployed Engineer (FDE) Intern (8-12 month intern)
Element Fleet Management
Toronto, ON
- Full-time
…intelligence solutions directly to the business teams it serves. As a Forward Deployed Engineer (FDE) Intern, you will join discovery conversations, learn how operational workflows work,…
Added 8 days ago
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Product Engineer, Mobile & UX
Pontosense
Kitchener, ON
- Full-time
Product & Engineering | Toronto or Waterloo, hybrid | 3 to 5 years of experience | Reports to the COO
Added 9 days ago
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Forward Deployment Engineer Lead - Manufacturing
''
Toronto, ON
- Full-time
- Other
Position Title: Forward Deployment Engineer Lead - Manufacturing
Added 9 days ago
J
Senior Forward Deployed Engineer
Justworks
Toronto, ON
- $167,500 to $235,000 CAD / year
As a Forward Deployed Engineer, you will work closely with business leaders, operators, and frontline teams to identify where AI can make the biggest impact, redesign organizational…
Added 9 days ago
P
Content & Communications Lead, Pontosense
Pontosense
Toronto, ON
- Full-time
Marketing | Toronto or Waterloo, hybrid | Reports to the CEO
Added 9 days ago
P
Product Engineer, Mobile & UX
Pontosense
Toronto, ON
- Full-time
Product & Engineering | Toronto or Waterloo, hybrid | 3 to 5 years of experience | Reports to the COO
Added 10 days ago
L
Security Projects and Operations Engineer (Toronto, ON – Hybrid)
LifeLabs
Toronto, ON
- $81,431 to $103,825 CAD / year
The Security Projects and Operations Engineer is responsible for ensuring LifeLabs’ cybersecurity tools and platforms are properly deployed, consistently maintained, and operating at peak…
Added 11 days ago
V
Sales Engineer
Valence
Toronto, ON
- Full-time
Sometimes this takes the form of deflecting a client's "We must have X" requirement into something we can actually do

Element Fleet Management

Forward Deployed Engineer (FDE) Intern (8-12 month intern)

Toronto, ON, Canada

The hiring base salary for this position is $54,400 - $74,800 annually. · Full-time

Apply on elementfleet.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: The hiring base salary for this position is $54,400 - $74,800 annually.
Job type: Full-time
Apply by: Nov 20, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Get started on an exciting career at Element!

Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first, then business – delivering on our promise of a superior client experience. This takes hard work and innovation, and we need more like-minded people on our team.

Build and deploy practical AI solutions from business problem to working pilot.

THE OPPORTUNITY

The AI Platform Engineering team brings artificial intelligence solutions directly to the business teams it serves. As a Forward Deployed Engineer (FDE) Intern, you will join discovery conversations, learn how operational workflows work, and help design, build, and deploy

AI agents, tools, and intelligent workflows on Element's enterprise agentic AI platform. Working alongside senior engineers, you will contribute scoped solutions from prototype through pilot, translate business needs into technical designs, and bring field feedback back to the platform team. You will receive structured mentorship, clearly scoped ownership, and regular feedback while gaining hands-on exposure to production AI delivery.

WHAT YOU WILL OWN

Build and deploy AI agents, tools, and intelligent workflows on Element's agentic AI platform for scoped business use cases, with guidance from senior engineers.
Integrate agents with enterprise data sources, internal APIs, and business systems using Python and/or TypeScript within platform governance, security, and permission boundaries.
Apply retrieval-augmented generation (RAG), tool and function calling, and multi-step orchestration patterns using established platform patterns and templates.
Join discovery sessions with internal business teams, document workflows and pain points, and help translate needs into use-case specifications, agent designs, and acceptance criteria.
Support demos and pilot rollouts, gather user feedback, track adoption and outcome metrics, and create lightweight enablement materials such as quick-start guides, demos, and FAQs.
Write evaluation cases and test datasets, use observability and tracing tools to investigate failures, and contribute to guardrails, fallbacks, error handling, documentation, and runbooks.

YOU SHOULD CONSIDER THIS ROLE IF:

You are curious, comfortable with ambiguity, and eager to move between coding and collaboration with business users.

You are currently pursuing a bachelor's or master's degree in Computer Science, Engineering, Data Science, or a related field, with at least one term of study remaining or graduating within the internship window.
You have hands-on experience through academic projects, co-ops, internships, hackathons, or personal projects building software that integrates large language models, machine learning models, or AI services.
You have working proficiency in Python and/or TypeScript and are comfortable with REST or GraphQL APIs, JSON, and Git-based workflows.
You have foundational familiarity with LLM application patterns such as prompt design, retrieval-augmented generation (RAG), tool or function calling, and agentic orchestration frameworks such as LangChain/LangGraph, Strands, OpenAI Agents SDK, or similar.
You have some exposure to cloud environments, preferably AWS services such as Bedrock, Lambda, and DynamoDB, and to containerization with Docker.
You can ask clear questions of non-technical stakeholders, demo working software, and write clear documentation.

Preferred experience includes familiarity with LLM evaluation frameworks, AI observability tooling, vector databases, or front-end development with React/Next.js.

YOU SHOULD BE ABLE TO TELL US

About an AI or software project you built, including the problem you were solving, the technical approach you chose, and what you learned from the result.
How you have used Python and/or TypeScript, APIs, or cloud services to connect systems, data, models, or user-facing functionality.
How you have tested, evaluated, debugged, or improved an AI-enabled application or workflow based on observed behaviour or user feedback.
How you have explained or demonstrated technical work to a non-technical audience and incorporated their feedback.

WHY ELEMENT

At Element Fleet Management, this internship gives you the opportunity to work on practical AI solutions that connect technology with real business workflows. You will learn alongside senior engineers, contribute to pilots used by internal business teams, and help improve the enterprise AI platform through field feedback and reusable patterns. Element's purpose is to Move the world through intelligent mobility. In this role, you can contribute by helping build safe, useful AI-enabled processes that reduce friction and manual effort.

LOCATION AND WORKING ARRANGEMENT

Location: 1 Adelaide St. E., Toronto, ON
Working arrangement: Hybrid

COMPENSATION

The hiring base salary for this position is $54,400 - $74,800 annually. This range represents the Company's good-faith estimate of the expected base salary at the time of posting. Salary ranges may vary based on the geographic location where the work is performed. The salary range listed in this posting applies only to the location identified. Actual compensation will be determined based on several factors, including the successful candidate's qualifications, knowledge, skills, experience, internal pay equity, and relevant market data. In addition to base salary, eligible employees may participate in annual incentive programs, including bonuses, commissions, or other incentive compensation, as applicable to the role. Element also offers a comprehensive benefits package, which may include health insurance, tuition reimbursement, and retirement savings plans.

Applicants must be legally authorized to work in the country where the position is based. Element Fleet Management does not provide sponsorship or support for obtaining or maintaining work authorization for this position.

What’s in it for You
• A culture of innovation, empowerment, decision-making, and accountability
• Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness (for qualified roles)
• Additional benefits and amenities, including paid time-off programs (vacation, sick leave, and holidays) (for qualified roles)

Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended.

Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, genetic information, sex, gender identity, sexual orientation, age, marital status, family status, ancestry, national origin, citizenship, physical or mental disability, veteran status, military obligations or any other characteristic protected by federal, state and local laws. Disability-related accommodations during the application and interview process are available upon request. Should you require an accommodation with our hiring process please send an email to talentacquisition@elementcorp.com or call (800) 665-9744. Element Fleet Management also uses AI-assisted tools to help screen and assess applications. These tools analyze information you provide (for example, your rēsumē and screening responses) to identify job-related skills, qualifications, and experience. AI outputs do not by themselves determine whether you advance or receive an offer – they assist recruiters and hiring managers. Final hiring decisions are made by people.

Apply on elementfleet.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

You will build and deploy AI agents, tools, and intelligent workflows on the company's enterprise AI platform while collaborating with senior engineers. Additionally, you will participate in discovery sessions with business teams to translate needs into technical designs and support pilot rollouts.

Requirements

Candidates must be pursuing a bachelor's or master's degree in Computer Science, Engineering, Data Science, or a related field. You should have hands-on experience with AI/ML projects, proficiency in Python or TypeScript, and familiarity with cloud environments and LLM application patterns.

Skills

Python
TypeScript
AI agents
Retrieval-augmented generation
LLM
Machine learning
REST APIs
GraphQL
Git
AWS
Docker
LangChain
LangGraph
Prompt design
Data science
Software engineering

Benefits

Health insurance
Tuition reimbursement
Retirement savings plans
Paid time-off programs
Vacation
Sick leave
Holidays

Visa sponsorship

Not detected in the job text

Keywords

Forward Deployed Engineer
AI Platform
Agentic AI
Python
TypeScript
RAG
LLM
AWS
Bedrock
Lambda
DynamoDB
Docker
LangChain
LangGraph
REST API
GraphQL
Git
Fleet management
Software development
Data science
Machine learning
Vector databases
React
Next.js
Observability
Tracing
Automation
Technical documentation
Enterprise AI
Workflow optimization

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Jobs in Canada