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Added 1 month ago
SI
Principal SI/PI Engineer - 18619
Synopsys Inc
Mississauga, ON
- Full-time
…self-driving cars, machine learning to artificial intelligence. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and…
Added 1 month ago
S
Senior Fullstack Engineer- Toronto
Sokin
Toronto, ON
- Full-time
Lead architectural decisions, ensuring that solutions are scalable, maintainable, and aligned with industry best practices.
Added 1 month ago
S
Senior Cloud Operations and CI/CD Specialist
Syntronic
Ottawa, ON
- Full-time
Lead cloud infrastructure delivery, automation, and operational support for enterprise and IoT platforms, improving deployment reliability, observability, incident response, and software…
Added 1 month ago
A
Senior Software Engineer, Behavior Planning
AeroVect
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
…(RaaS) business model. This role reports to our Planning Tech Lead and works closely with the autonomy engineering…
Added 1 month ago
Content Producer
Haven Interactive Studios - English
Montreal, QC
…readiness metrics and escalate potential timeline risks to the Lead…
Added 1 month ago
SG
Back End Developer-Python
SRA Group
Toronto, ON
- Contract
Job Title : Backend Engineer – Python (API & Platform Engineering) X13 (ongoing roles)
Added 1 month ago
Content Producer
PlayStation Global
Montreal, QC
…readiness metrics and escalate potential timeline risks to the Lead…
Added 1 month ago
C
Presales Solutions Architect
Centrilogic
Toronto, ON
- Full-time
First 90 days: you know our cloud, AI and data offerings well enough to lead discovery on a qualified opportunity without support.
Added 1 month ago
P
Senior AI Platform Developer
Petal
Canada
- Full-time
…Agentic Development Life Cycle (ADLC). We are looking for senior developer who embrace AI-assisted engineering practices and can lead by example in modern software…
Added 1 month ago
P
AI Platform Developer
Petal
Canada
- Full-time
…Development Life Cycle (ADLC). We are looking for Intermediate developer who embrace AI-assisted engineering practices and can lead by example in modern software…
Added 1 month ago
P
AI Platform Developer
Petal
Remote, Canada
- Full-time
- Remote
…Development Life Cycle (ADLC). We are looking for Intermediate developer who embrace AI-assisted engineering practices and can lead by example in modern software…
Added 1 month ago
P
Senior AI Platform Developer
Petal
Remote, Canada
- Full-time
- Remote
…Agentic Development Life Cycle (ADLC). We are looking for senior developer who embrace AI-assisted engineering practices and can lead by example in modern software…
Added 1 month ago
B
Enterprise Architect – AI and Data
BMO
Toronto, ON · FCP
- Full-time
Lead the design of end-to-end AI solution reference architectures, integrating data architecture components such as data pipelines, model training, deployment, and monitoring.
Added 1 month ago
S
GIS Manager
SYSTRA
Toronto, ON
- Full-time
Lead the administration, architecture, security, and evolution of ArcGIS Enterprise and related GIS environments.
Added 1 month ago
I
Management Information Analyst
ICES
Toronto, ON
- Contract
Demonstrated familiarity with SQL and Python programming would be an asset;
Added 1 month ago
IC
Information Management Analyst
ICES Central
Toronto, ON
- Full-time
- Temporary
Demonstrated familiarity with SQL and Python programming would be an asset;
Added 1 month ago
C
Staff Software Engineer, Fullstack
Cloudjobs
Toronto, ON
- Full-time
Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.
Added 1 month ago
SE
Senior Software Engineer
Soma Energy
Remote, Canada
- Full-time
- Remote
…multiply the engineers around you. If you've led before as a tech lead, staff engineer, or EM, you'll find that directing a fleet of agents draws on the same muscle as directing a…
Added 1 month ago
EC
Ingénieur(e) principal(e) en réseaux de puissance / Lead Power System Engineer
Eaton Corporation
Brossard, QC
- Full-time
Eaton's Electrical Engineering Services and Systems division is currently seeking a Lead Power System Engineer. This role is based in our Eaton Americas Innovation Center in Brossard,…
Added 1 month ago
SC
Associate Director, Insights & Analytics
Starcom Canada
Toronto, ON
- Full-time
We are seeking a strategic, commercially minded Associate Director, Insights & Analytics to lead and scale our MMM capability across clients and internal teams. This role will shape the…
Added 1 month ago
UT
Senior ASIC RTL Design Engineer
USA Tech Recruit
Ottawa, ON
- $150,000 to $200,000 CAD / year
- Full-time
Lead design reviews and communicate technical risks, challenges, dependencies, and progress clearly.
Added 1 month ago
A(
Machine Learning Scientist
Amii (Alberta Machine Intelligence Institute)
Edmonton, AB
- Full-time
Dave Staszak, Lead Machine Learning Scientist
Added 1 month ago
I
Sr. Machine Learning Engineer
Insight
Remote, Canada
- Full-time
- Remote
As an Senior Machine Learning Engineer, you will lead the modeling work on enterprise engagements where ML models are often integrated directly into multi-agent systems. We will count on…
Added 1 month ago
Lead Software Engineer II (Node JS)
Momentum Financial Services Group
Toronto, ON
The Job: Lead Software Engineer, Backend & Cloud Platform
Added 1 month ago
C
Senior Fullstack Engineer, Agentic Experience
CreatorIQ
Remote, Canada
- $132,000 to $165,000 CAD / year
- Full-time
- Remote
As a Senior Engineer on our Platform Infrastructure team, you will lead the design and governance of our Agentic Solutions. You will bridge the gap between innovative AI agents and…

Petal

Senior AI Platform Developer

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: As a Senior Software Developer, AI Platform, you will bring 10+ years of hands-on experience building and operating SaaS products.
Posting language: English
Posted: Sep 17, 2026

Original job description

Petal is a leading Canadian healthcare orchestration and billing company that revolutionizes healthcare systems to make them agile, efficient, and resilient by enabling the forecasting and shaping of world-class healthcare through Healthcare BI, advanced analytics, and informed insights.

Our commitment to fostering an exceptional workplace culture has earned us notable recognitions, including being listed as a Great Place to Work in both the technology and healthcare sectors. Join us in our mission to empower healthcare innovators and improve healthcare differently.

Let’s talk tech

Join a high-performing engineering team undergoing an AI-driven transformation of the Software Development Life Cycle into an Agentic Development Life Cycle (ADLC). We are looking for senior developer who embrace AI-assisted engineering practices and can lead by example in modern software delivery.

You will help drive engineering excellence by leveraging AI tools to improve development velocity, code quality, automation, and operational efficiency across the SDLC.

The role

The AI Platform team builds the dedicated AI capabilities that enable Petal product teams to create, deploy, evaluate, govern, and operate AI agents safely and consistently.

As a Senior Software Developer, AI Platform, you will bring 10+ years of hands-on experience building and operating SaaS products. In this role, you will design, build, and operate production-grade AI Platform capabilities that are reused across product teams. You will help define the technical foundation for Petal’s AI agent ecosystem while ensuring the platform capabilities are secure, observable, evaluable, governed, and ready for production use.

What You’ll Do

Design, build, and operate AI-specific platform capabilities used by product teams to build and run AI agents.
Build services for agent orchestration, runtime execution, tool integration, agent lifecycle management, evaluation, observability, and governance.
Create AI Platform components such as agent catalogs, workflow builders, Agent IAM, agent operational stores, evaluation frameworks, prompt/configuration management, guardrails, retrieval services, and Agent Observability.
Build reusable APIs, SDKs, templates, reference implementations, and documentation for AI agent development and operation.
Partner with application teams to understand their AI Platform needs while keeping ownership of product-specific AI features with those teams.
Support secure and governed integration between agents, internal APIs, data sources, knowledge systems, and Azure AI services.
Define standards for agent deployment, monitoring, evaluation, access control, cost management, and responsible AI practices.
Reduce duplicated AI-agent infrastructure across teams by creating reusable AI-specific building blocks.
Mentor developers and help shape technical direction across Petal’s AI Platform capabilities.

Technology stack

You Will Work With AI Platform Technologies Such As

Azure AI and cloud: Azure Native Services, Azure AI Foundry, Azure AI Search, Azure Cognitive Services
Agent orchestration: LangGraph, agent runtimes, tool calling, workflow orchestration
Languages and frameworks: Python, Node.js, TypeScript, Angular
Evaluation: AI evaluation frameworks, automated agent testing, benchmark suites, quality scoring
Agent security: Agent IAM, role-based access control, secrets management, audit trails
Agent observability: Agent traces, tool-call logs, prompt/response monitoring, metrics, dashboards, alerting
Knowledge and retrieval: Semantic search, vector search, retrieval pipelines, enterprise knowledge connectors
Governance: Responsible AI guardrails, policy enforcement, compliance controls, cost monitoring

What You Bring

Strong experience building production-grade backend, platform, AI infrastructure, or agent infrastructure services.
Experience designing distributed systems, APIs, cloud-native services, and developer-facing capabilities for internal engineering teams.
Hands-on experience with modern AI/LLM infrastructure, such as agent orchestration, retrieval, tool calling, evaluation pipelines, Agent IAM, Agent Observability, model gateways, or responsible AI guardrails.
Strong understanding of how to build AI systems that are secure, observable, testable, governed, reliable, and cost-aware in production.
Ability to work through ambiguity, define technical direction, and turn AI Platform concepts into usable services for product engineering teams.
Strong collaboration skills across product, engineering, security, data, and application teams.
Ability to mentor other developers and raise the technical bar for AI platform engineering.

Senior-level expectations

As a senior member of the AI Platform team, you will help shape Petal’s AI-specific platform capabilities.

You Are Expected To

Own complex AI Platform initiatives from design through production.
Make pragmatic architecture decisions that balance speed, safety, scalability, maintainability, governance, and cost.
Anticipate operational, security, and quality risks specific to AI agents.
Create reusable AI Platform patterns rather than one-off product features or generic platform services.
Help application teams succeed through AI-specific enablement, documentation, APIs, and reusable services.
Mentor developers and influence engineering practices for AI agent development and operation.
Represent the AI Platform team in cross-functional technical discussions about AI architecture, AI safety, AI evaluation, and agent operations.

Success in the first 6–12 months

Success In This Role Looks Like

Application teams can build AI agents faster using dedicated AI Platform capabilities.
Core AI Platform components are production-ready, observable, secure, governed, and documented.
There is less duplicated AI-agent infrastructure across teams.
The platform provides clear AI-specific patterns for orchestration, retrieval, evaluation, governance, Agent IAM, Agent Observability, and deployment.
AI agents can be evaluated, monitored, governed, and operated with confidence in production.
The AI Platform team is recognized as the owner of reusable AI Platform capabilities, not as a generic platform team or a product AI feature team.

Petal’s position on remote working

In our opinion, a company cannot claim to be modern, innovative and have the well-being of their team at heart, without attempting to integrate remote working to the level that their business model allows them to. Petal employees continue to benefit from the option of teleworking up to the maximum flexibility permitted by the nature of the position and the smooth running of operations.

Our Benefits

Recurring hybrid work allowance;
Compensation that recognizes your contribution;
4 to 6 weeks of paid vacation per year;
5 paid personal days per year ;
A group RRSP / DPSP plan with employer contribution;
A complete group insurance plan, from day 1;
An annual wellness allowance;
Access to the Lumino Health™ telehealth application;
Flexible work hours and more.

Petal is an active participant in the equal opportunity employment program, and members of the following target groups are encouraged to apply: women, people with disabilities, aboriginal peoples and visible minorities. If you are a person with a disability, assistance with the screening and selection process is available on request.

A quick important note: We’ve noticed that some external websites are posting our job openings under incorrect job titles. To find our real opportunities and join our team, please make sure to apply through our official careers page or our trusted partners. We can’t wait to hear from you!

Apply About employer

More about this job

Responsibilities

You will design, build, and operate production-grade AI platform capabilities to enable product teams to create and manage AI agents. This includes developing services for orchestration, evaluation, governance, and observability while mentoring developers to drive engineering excellence.

Requirements

The role requires 10+ years of hands-on experience building and operating SaaS products and distributed systems. Candidates must have strong expertise in modern AI/LLM infrastructure, cloud-native services, and the ability to define technical direction for AI platform engineering.

Skills

Azure AI
Python
Node.js
TypeScript
Angular
LangGraph
Distributed systems
Cloud-native services
Agent orchestration
Retrieval pipelines
Semantic search
Vector search
API development
Governance
Observability

Benefits

Recurring hybrid work allowance
Paid vacation
Paid personal days
Group RRSP/DPSP plan
Group insurance plan
Annual wellness allowance
Lumino Health telehealth application
Flexible work hours

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
Azure AI Foundry
Azure AI Search
LangGraph
SaaS
Python
TypeScript
Node.js
Angular
Distributed Systems
Cloud-native
Agent Orchestration
Semantic Search
Vector Search
IAM
Observability
Governance
Responsible AI
Healthcare BI
Analytics
Automation
API
SDK
Azure Cognitive Services
Prompt Engineering
Evaluation Frameworks
Compliance
Cost Management

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