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Added 14 hours ago
ZS
Principal Databricks Data Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Title: Principal Data Engineer – Databricks**
Added 1 day ago
Q
Embedded Software Engineer (C/C++), Machine Learning
Qualcomm
Markham, ON
- Full-time
Added 1 day ago
TR
Staff Software Engineer – AI
Thomson Reuters
Toronto, ON
- Full-time
As a Staff Software Engineer – AI on the Confirmation Product Engineering team, you will be a hands-on technical leader building and delivering production platform and AI capabilities. This…
Added 1 day ago
O
Principal Machine Learning Engineer, SecureAI
Okta
Toronto, ON
- $192,000 to $264,000 CAD / year
- Full-time
In this role, you will join the Agent Access Policies sub-team under Okta Secures AI as a Principal Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing…
Added 3 days ago
X
Principal Engineer (API Platform)
Xero
Remote, Canada
- Full-time
- Remote
As Principal Engineer for Platform API, you will define and drive the long-term technical vision for how Xero exposes its accounting capabilities to external partners (building on our…
Added 4 days ago
RB
Principal AI Engineer
Royal Bank of Canada
Calgary, AB
- Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 4 days ago
J
Principal Sales Systems Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Sales Systems Engineer based in Canada.
Added 4 days ago
Z
Principal Software Engineer, Full-Stack Development
Zynga
Toronto, ON
- $118,300 to $168,300 CAD / year
Come join the AI team at Zynga making an impact across all of the company's games - Central Technology! As a Principal Software Engineer, you will be responsible for the technical vision,…
Added 4 days ago
M
Senior Principal Software Engineer, R&D
Mastercard
Toronto, ON
- Full-time
Senior Principal Software Engineer, R&DOverview
Added 4 days ago
L
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
- Full-time
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…
Added 7 days ago
R
Principal AI Engineer
RBC
Calgary, AB
- Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 7 days ago
EG
Développeur(-euse) principal(e) de logiciels (contenu) /Principal Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
- Full-time
Développeur(-euse) principal(e) de logiciels (contenu)
Added 7 days ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…
Added 8 days ago
XI
Principal Data Engineer
Xplore Inc
Markham, ON
- Full-time
Added 8 days ago
Senior Technical Architect II
Bell
Toronto, ON
Mentorship & Technical Guidance: Act as the principal subject matter expert, providing strong technical direction, architectural guidance and mentorship to engineers and architects on power…
Added 9 days ago
UR
Principal Software Engineer / Architect – AI, CoCounsel FDE
Urban Ridge Supplies
Toronto, ON
- Full-time
Are you a Principal-level software engineer who enjoys solving complex customer problems while remaining deeply hands-on with technology?
Added 9 days ago
UR
LLM Engineer
Urban Ridge Supplies
Markham, ON
- Full-time
…smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient…
Added 9 days ago
KD
Senior Data Engineer – Ingénieur des données
KPI Digital Solutions
Montreal, QC
- Other
We are looking for a Data Engineer that combines Data Engineering, platform architecture and management expertise. The Data Engineer will:
Added 9 days ago
GS
Senior Product Manager, PolicyCenter
Guidewire Software
Canada
- Full-time
…and Billing, the Product Management Lead for Policy, and a Principal PM focused on AI/agentic capabilities - to deliver the next generation of policy administration for P&C…
Added 9 days ago
V
Principal AI/ML Engineer
Vanguard
Toronto, ON
- Full-time
As a Principal AI Engineer, you will serve as a senior technical leader responsible for transforming state-of-the-art AI research into scalable, production-ready capabilities that create…
Added 9 days ago
B
Principal AI Cloud Engineer
BMO
Toronto, ON · FCP
- Full-time
As a Principal AI & Cloud Engineer , you are a hands-on technical developer who designs, builds, and scales cloud-native AI solutions and products. You help set engineering standards,…
Added 9 days ago
KM
Senior Data Engineer – Ingénieur des données
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
We are looking for a Data Engineer that combines Data Engineering, platform architecture and management expertise. The Data Engineer will:
Added 10 days ago
QT
Principal Engineer, Software Engineering / AI Engineer
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $285,000 to $325,000 USD / year
- Full-time
Position: Principal Engineer, Software Engineering / AI Engineer
Added 11 days ago
W
Principal Software Development Engineer - AI Platform
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Principal Software Development Engineer for Machine Learning, you will be a team leader, working closely with other engineers and ML researchers to build and deploy robust, scalable AI…
Added 11 days ago
W
Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As either a Senior Software Development Engineer or a Principal Software Development Engineer on the AI Model Serving team, you will be a technical leader who helps shape the vision and…

Okta

Principal Machine Learning Engineer, SecureAI

Toronto, ON, Canada

$192,000 to $264,000 CAD / year · Full-time

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Job details

Pay: $192,000 to $264,000 CAD / year
Job type: Full-time
Apply by: Oct 31, 2026
Experience: 10+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Posting language: English
Posted: Oct 1, 2026

Original job description

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

About Okta Secures AI Team

The Okta for AI Agents Team is building the future of digital identity management. The way companies are using agents and allowing them access is undergoing a fundamental shift, enabling teams to move fast while staying secure.

Our North Star is clear: To get AI right, you have to get identity right. We are not just managing identities; we are building the industry's first Identity Security Fabric for the agentic era. As organizations rapidly deploy AI, these non-human entities are acting with access to critical tools, often bypassing traditional perimeters and creating a 'Shadow AI' crisis. Our mission is to move identity from a reactive gatekeeper to a unified control plane, transforming AI risk into business ROI.

We are tackling this by implementing a comprehensive four-pillar maturity model: Discover, Onboard, Protect, and Govern. We are driving innovation by defining the standards for Agentic Identity - including pioneer work with securing AI Agents and support for protocols like MCP. You will be helping us build the infrastructure that allows enterprises to scale AI safely, ensuring every access decision - whether made by a human or an automated agent - is authenticated, authorized, and audited at scale.

We are a diverse team of engineers, product managers, and designers who are bringing Okta’s expertise in identity to define the future of Agent Identity management, focusing on enablement while staying secure.

About the role

In this role, you will join the Agent Access Policies sub-team under Okta Secures AI as a Principal Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing static, rule-based systems with dynamic AI security mechanisms, you will deliver real-time threat inspection, agent intent evaluation, and behavioral analysis - ensuring autonomous AI agents operate safely within specified bounds.

Your core mission will be architecting and driving features for our unified control plane to establish the premier Identity Security Fabric for the agentic era. In doing so, you will help execute our guiding principle: "To get AI right, you have to get identity right."

What you’ll be doing

Implement intent-based enforcement to verify agent runtime requests match their intended purpose, requiring key capabilities.
Apply LLM reasoning and prompt parsing to interpret prompts, tool payloads, and intent in real time.
Integrate low-latency inference or semantic evaluation engines directly into the API gateway request path.
Use embeddings, vector search, or zero-shot classification to score alignment between agent intent and executed actions.
Design confidence-scored decision engines that feed semantic verification results into policy frameworks (e.g., Cedar).
Establish evaluation benchmarks, prompt injection defenses, and guardrails to prevent bypasses or false positives.
Architect scalable ML and Generative AI systems integrating retrieval, inference, and evaluation pipelines.
Optimize prompting, context retrieval, and RAG workflows for accuracy, safety, and efficiency in Claude-based systems.
Build automated evaluation pipelines to measure model quality, correctness, groundedness, and safety in production.
Implement schema validation, structured output enforcement, and guardrails to ensure reliable, compliant AI outputs.
Mentor and coach engineers to support team and community growth.

What you’ll bring to the role

10+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Hands-on experience with applied machine learning, from feature engineering to training and fine-tuning models.
Hands-on experience with modern Generative AI platforms (AWS Bedrock, OpenAI, Anthropic, etc.).
Deep understanding of retrieval-augmented generation (RAG), embeddings, and knowledge-base workflows.
Hands-on experience with LiteLLM, LangGraph, LangChain, LlamaIndex, MCP, or other related AI agent frameworks.
Familiarity with ML frameworks (FastAPI, PyTorch, TensorFlow, Spark ML) and workflow orchestration tools (Airflow, etc.).
Experience defining evaluation metrics, pipelines, and feedback loops for ML/GenAI systems.
Proven ability to collaborate with product and engineering teams to drive greenfield initiatives forward, navigate unknowns, and iterate quickly and frequently.
Experience building tools or infrastructure for AI/ML applications, with a deep understanding of the developer lifecycle in an AI-native world.

Extra credit

Experience integrating AI-driven systems with identity, authentication, or security products.
Exposure to ethical AI, model risk, or compliance frameworks.
Familiarity with evaluation datasets, synthetic data generation, or LLM-as-a-judge methods.

Education:Bachelor’s or Master's degree in Computer Science or related field

(P25822_3552624)

Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in the San Francisco Bay area is between: : $192,000 CAD - $264,000 CAD

The Okta Experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

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More about this job

Responsibilities

Architect and build AI-driven authorization capabilities that evaluate agent intent, inspect runtime requests, and analyze behavior using low-latency inference, semantic evaluation, and confidence-scored policy decisions. Develop scalable GenAI and ML pipelines, evaluation benchmarks, safety guardrails, and reliable structured outputs, while mentoring engineers.

Requirements

Requires 10+ years of software development experience, strong Python skills, and hands-on experience with applied machine learning, modern GenAI platforms, RAG, embeddings, and AI agent frameworks. Candidates should also have experience building and evaluating ML/GenAI infrastructure, collaborating on greenfield initiatives, and iterating quickly; a bachelor's or master's degree in computer science or a related field is listed.

Skills

Python
Applied Machine Learning
Generative AI
Retrieval-Augmented Generation
Embeddings
AI Agent Frameworks
Prompt Engineering
Model Evaluation
Inference Optimization
Vector Search
Semantic Classification
Prompt Injection Defense
FastAPI
PyTorch
TensorFlow
Go

Benefits

Equity
Bonus
Health Insurance
Dental Insurance
Vision Insurance
401(k)
Flexible Spending Account
Paid Time Off
Parental Leave

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Generative AI
Python
Go
TypeScript
AWS Bedrock
OpenAI
Anthropic
Claude
Retrieval-Augmented Generation
Embeddings
Vector Search
LiteLLM
LangGraph
LangChain
LlamaIndex
MCP
FastAPI
PyTorch
TensorFlow
Spark ML
Airflow
Cedar
Prompt Injection Defense
Semantic Evaluation
Identity Security
Authentication
Authorization
AI Agents
Model Evaluation

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