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Added 10 mins ago
TR
JREQ203081 Staff Software Engineer I (Open)
Thomson Reuters
Toronto, ON
- Full-time
…brings platform thinking, deep API and evaluation instincts, enterprise-grade security awareness, and a product-minded approach to developer experience - treating each tool’s contract as a…
Added 11 mins ago
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Staff Eng, API Design & Governance
eBay
Toronto, ON
- Full-time
eBay’s Developer Ecosystem team builds the tools, platforms, and experiences that help developers create solutions that make buying and selling on eBay faster and easier. The team owns…
Added 11 mins ago
SI
Senior iOS Engineer
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
Added 25 mins ago
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Software Engineer
Randstad Digital
Toronto, ON
- Contract
…you will work on backend Java and Scala services supporting enterprise web applications responsible for client and account onboarding. You will collaborate closely with cross-functional…
Added 25 mins ago
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Technical Field Supervisor – Building Automation Systems / Systems Integration (TFS003)
Potenco
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Our Client is an established technology and systems integration organization supporting commercial, institutional, industrial, mission-critical, and enterprise environments.
Added 25 mins ago
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Lead, Leadership Programs
WestJet
Calgary, AB
- Full-time
…the development, implementation, and continuous evolution of enterprise leadership talent strategies and programs. This role is located in Calgary and will operate as a trusted advisor to…
Added 25 mins ago
FT
Lead Software Engineer
Franklin Templeton
Toronto, ON
- Full-time
Deliver scalable, enterprise-grade data solutions enabling business and analytics use cases
Added 26 mins ago
FA
Full Stack Developer (AI-Native)
Forum Asset Management
Toronto, ON
- Full-time
Forum Asset Management – Full Stack Developer (AI-Native)
Added 54 mins ago
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Senior Manager, Data Governance Implementation
Aviso
Toronto, ON
- $115,000 to $135,000 CAD / year
- Full-time
Develop Implementation Roadmaps: Create and execute detailed roadmaps for rolling out governance initiatives, ensuring alignment with enterprise priorities and timelines
Added 54 mins ago
LK
Vice President, Sustainability
LHH Knightsbridge
Sudbury, ON
- Contract
· Develop and execute enterprise-wide sustainability and ESG strategies.
Added 54 mins ago
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Datastage Developer
LanceSoft, Inc.
Toronto, ON
- $55 to $60 CAD / hour
- Contract
Experienced Python DataStage Developer responsible for designing| developing| and maintaining ETL/data integration solutions for banking applications.
Added 54 mins ago
TU
Senior Project Manager – App Mod Program
The University of British Columbia
Vancouver, BC
- $11,397 to $17,081.58 CAD / month
- Full-time
Manages complex enterprise-level projects with multiple large-scale functional areas to further develop and implement aspects of work related to information systems and business processes…
Added 54 mins ago
AB
Senior Salesforce Enterprise Architect (hybrid job)
Ateko, backed by Bell Canada
Toronto, ON · Greater Toronto Area, Canada
- Contract
The Senior Salesforce Architect is responsible for defining, governing, and driving enterprise Salesforce architecture strategy across multiple business and technology initiatives. This…
Added 54 mins ago
TI
Sr. Analytics Developer
Techtronic Industries Canada Inc.
Toronto, ON
- Full-time
The Sr. Analytics Developer will drive the development of enterprise-grade analytics solutions and mentor junior team members to ensure consistent delivery of high-quality insights.
Added 56 mins ago
AW
Senior Manager, Data Governance Implementation
Aviso Wealth
Remote, Canada
- $115,000 to $135,000 CAD / year
- Full-time
- Remote
Develop Implementation Roadmaps: Create and execute detailed roadmaps for rolling out governance initiatives, ensuring alignment with enterprise priorities and timelines
Added 56 mins ago
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Responsable de livraison technique principal, IA Souveraine
Mila - Institut québécois d'intelligence artificielle
Montreal, QC
- Full-time
The Sovereign AI Lab is a new Mila initiative to assemble an enterprise-ready, open-source AI inference stack that organizations can deploy and operate on infrastructure they control. It…
Added 1 hour ago
Bilingual Data Engineer
CMHC - SCHL
Ottawa, ON · Montreal, QC
Understand stakeholder business requirements, enterprise architecture, policies, and standards to build data pipelines for long-term compatibility, scalability, and maintainability.
Added 1 hour ago
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Technical Project Manager
Heidi
Remote, Canada
- $130,000 to $145,000 CAD / year
- Full-time
- Remote
At Heidi, the Technical Project Manager is the operational backbone of how we deliver for enterprise customers. You own the technical project lifecycle from post-signature through…
Added 1 hour ago
DC
M&A and FP&A Analyst
Dillon Consulting Limited
London, ON
- Full-time
Due Diligence: Assist in the financial and operational due diligence process, identifying risks, synergies, and integration requirements.
Added 1 hour ago
TC
CUPE 1328 - IT Field Technician
Toronto Catholic District School Board
Toronto, ON
- Full-time
…understanding of Active Directory group policy objects and their integration with the desktop computer configuration and software…
Added 1 hour ago
LI
Terraform Developer
LanceSoft, Inc.
Halifax, NS
- Contract
We are looking for a Terraform Developer / Cloud Infrastructure & Data Engineering Specialist to join the Aperture Data Insights team within Quantitative & Technology Services (QTS).
Added 1 hour ago
M
Lead IGA Solution Architect
McKesson
Mississauga, ON
- Full-time
McKesson is seeking a strategic and experienced Lead IGA Solution Architect to define and drive enterprise identity security architecture across a complex, highly regulated environment.…
Added 1 hour ago
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IAM Sr. Developer, IGA
McKesson
Mississauga, ON
- Full-time
McKesson is seeking an experienced Senior Identity Governance & Administration (IGA) Developer to design, develop, and support enterprise identity security solutions in a complex, highly…
Added 1 hour ago
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Backend Java Developer, Vice President
Citi
Mississauga, ON
- Full-time
…components in Java. Candidate must have experience in developing enterprise application using Java/J2EE &…
Added 1 hour ago
C
Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
You’ll be joining CIBC’s Financial Crimes & Enterprise Risk Technology. You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale…

Levio

Artificial Intelligence Engineer

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 5, 2026

Original job description

The role

We embed engineers directly inside enterprise clients to find, build, and ship AI and agentic systems that reach production and stay there. A Forward Deployed Engineer runs discovery with the customer's own stakeholders, scopes the use cases worth building, then writes and deploys the working system - in the customer's environment, against their data, under their security and governance constraints.

This is a build-with-the-customer role, not an advisory one. You are the person in the codebase and in the room, closing the gap between an ambiguous "we should use AI" and a governed system operators actually trust and use. You own outcomes through real production usage - you do not hand off a slide deck or a prototype and move on.

What you'll do

Run discovery with the customer's business stakeholders and turn open-ended "we should use AI" asks into scoped use cases, ranked by ROI, data readiness, and technical feasibility.
Build and ship production GenAI and agentic systems end to end - retrieval (RAG), agent orchestration and tool/MCP integration, evaluation harnesses, and the surrounding application and data plumbing.
Deploy inside the customer's environment and constraints: their cloud, their security posture, their data governance - not a sandbox you control.
Design for trust - keep business-critical logic (pricing, rules, calculations) in deterministic code paths, build evaluation and human-in-the-loop review, and know when model output is safe to put in front of operators.
Embed and enable: document the system, run walkthroughs, and lift adoption - while owning the system through real production use, not until the demo.
Present architecture, cost, and delivery trade-offs directly to non-technical decision-makers and keep them bought in.

What we require

You ship code now. Recent, hands-on, first-person production work you can walk through line by line - not architecture you directed or reviewed. If your last real commit was two years ago, this isn't the role.
Real engineering fundamentals. You can drop into an unfamiliar codebase, debug code you didn't write, and build the thing when the platform's GUI can't express it and the AI assistant is stuck. Low-code and AI-assisted development are welcome as tools, not as the whole toolbox.
Genuine customer-facing experience. You've been embedded with customers - in their environment, their mess, their competing priorities - and navigated ambiguity and stakeholders with no direct authority. Internal-only product work doesn't demonstrate this.
Demonstrable production GenAI depth. You've built real RAG and/or agentic systems and can explain the mechanics - retrieval strategy, orchestration, tool-calling - and, above all, how you evaluated them and made them safe to trust. A buzzword list is not depth.
Evaluation and guardrail instinct. You keep the stochastic model out of business-critical decisions, and you can prove your AI output is trustworthy rather than hoping it is.
Verifiable. Code we can look at and claims you can substantiate in a live session. A résumé is a starting point, not evidence.
Ownership temperament. You can own a system through production and iteration, inside a team's codebase and discipline - not only build-and-leave proofs of concept.

Strong pluses

Regulated-industry delivery (financial services, insurance, actuarial, wealth, pension) and comfort with its data, privacy, and governance realities - RBAC, audit, PIPEDA/GDPR.
Governed enterprise-AI patterns: human-in-the-loop, confidence thresholds, audit logging, escalation-path design.
Working depth in one or more of LangGraph or comparable agent frameworks, MCP, and AWS Bedrock / Azure OpenAI / GCP - real depth in one beats a shallow tour of all three.
A track record of taking use cases from discovery to production with measurable, defensible outcomes.
Strong written communication and the ability to teach - enablement is part of the job.

What this role is not

Not an architect or advisory seat. You build and deploy; you don't just diagram, cost, and present.
Not a low-code or platform-configuration role. Platforms are means; the job is engineering.
Not prototype-and-handoff. You own outcomes through production, not until the demo works.
Not a solo BD or fractional-consulting arrangement. This is full-contact delivery on a team.

How we evaluate

We weight what you can demonstrate over what's on the page. Come ready to build, and bring specifics.

A live, assistant-off exercise - extend or debug an unfamiliar codebase in front of us. This is the primary signal.
A production deep-dive - walk us through what broke in production, how you found it, and how you knew your AI output was safe to trust.
A discovery role-play - turn an ambiguous stakeholder ask into a scoped, ROI-ranked use case, out loud.
A depth check on your own claims - pick your strongest AI project and go as deep as we push: the graph, the retrieval, the evals, the guardrails.

Fit check

You'll thrive here if:

You'd rather ship a working system in a customer's messy environment than produce the perfect architecture diagram.
You're energized by ambiguity and being the most accountable person in the room.
You treat "the model said so" as the start of the work, not the end.

This isn't for you if:

You've moved into full-time architecture, strategy, or team leadership and don't miss the code.
Your AI experience is mostly demos, courses, or platform configuration.
You want to advise and hand off rather than build and own.

Apply About employer

More about this job

Responsibilities

Lead customer discovery to identify and prioritize AI use cases, then build, deploy, and maintain production GenAI and agentic systems within customer environments and governance constraints. Design evaluations and safeguards, support adoption through documentation and enablement, and communicate technical and delivery trade-offs to decision-makers.

Requirements

Requires recent, hands-on production coding experience, strong engineering and debugging fundamentals, customer-facing delivery experience, and demonstrable depth building and evaluating RAG or agentic systems. Candidates must be able to design trustworthy guardrails, own systems through production iteration, and substantiate their work in practical assessments.

Skills

Production GenAI Engineering
Retrieval-Augmented Generation (RAG)
Agent Orchestration
Tool and MCP Integration
Evaluation Harnesses
Software Engineering
Customer Discovery
Production Deployment
Cloud Platforms
Data Governance
Security and Privacy
Human-in-the-Loop Review
Guardrail Design
Stakeholder Communication
Debugging
System Ownership

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Agentic Systems
Retrieval-Augmented Generation (RAG)
Agent Orchestration
Tool Calling
Model Context Protocol (MCP)
LangGraph
AWS Bedrock
Azure OpenAI
Google Cloud Platform
Evaluation Harnesses
Human-in-the-Loop
Confidence Thresholds
Audit Logging
Escalation Paths
Cloud Deployment
Data Governance
Role-Based Access Control (RBAC)
PIPEDA
GDPR
Regulated Industries
Production Engineering
Customer Discovery
ROI Prioritization
Security and Privacy
Deterministic Business Logic
Enterprise AI
System Evaluation
Production Monitoring

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