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Added 17 days ago
K
AI Platform Engineer, Enablement and Governance Operations
Kraken
Canada
- Full-time
…assets, evaluation harnesses for model changes, provisioning automation, and integrations between AI tooling and your systems of…
Added 17 days ago
C
Presales Solutions Architect
Centrilogic
Toronto, ON
- Full-time
Bring Power Platform (Power Apps, Power Automate, Power BI) into a design where the requirement is workflow automation or reporting.
Added 17 days ago
E
Associate Verification Engineer
ecobee
ON · Ontario, Canada
- Full-time
As an Associate Verification Engineer, you will be at the forefront of validating and delivering high-reliability products and test systems for next-generation hardware. This role is ideal…
Added 17 days ago
GP
Associate Verification Engineer
Generac Power Systems
Toronto, ON · Canada - Toronto
- Full-time
As an Associate Verification Engineer, you will be at the forefront of validating and delivering high-reliability products and test systems for next-generation hardware. This role is ideal…
Added 1 month ago
FI
Senior Engineer, Applied AI
Fulfillment IQ
Toronto, ON
- Full-time
…solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain…
Added 17 days ago
Network Solution Architect
Mariner
NB
Cloud networking certifications such as Microsoft Azure Network Engineer Associate (AZ-700), Azure Solutions Architect Expert, AWS Advanced Networking Specialty, or Google Professional…
Added 17 days ago
Network Solution Architect
Mariner
NB · NS
Cloud networking certifications such as Microsoft Azure Network Engineer Associate (AZ-700), Azure Solutions Architect Expert, AWS Advanced Networking Specialty, or Google Professional…
Added 17 days ago
CO
DevOps Engineer
Caspian One
Toronto, ON
- $80 to $110 CAD / hour
- Contract
the future adoption of AI, automation, Power Platform solutions, and cloud-native engineering
Added 17 days ago
C
IT Systems Engineer
Cloudjobs
Toronto, ON
- Full-time
Lyft is looking for an IT Systems Engineer to lead the technical side of integrating newly acquired companies into Lyft's IT environment. You'll be responsible for migrating collaboration…
Added 17 days ago
BA
Senior Infrastructure Engineer
BYD Australia & New Zealand
Mulgrave, NS
- Contract
As a Senior Infrastructure Engineer, you will be responsible for the planning, implementation and full lifecycle operation of IDC and cloud platform infrastructure across the region. The…
Added 17 days ago
UT
Senior ASIC RTL Design Engineer
USA Tech Recruit
Ottawa, ON
- $150,000 to $200,000 CAD / year
- Full-time
Scripting experience with Python, Tcl, or similar languages for design-flow automation.
Added 18 days ago
Q
Audio/Edge AI Silicon Validation and Firmware Engineer
Qualcomm
Markham, ON
- Full-time
An ideal candidate is an embedded Firmware Engineer interested in helping to validate and develop world-class low power audio and AI solutions. Replacement Position
Added 17 days ago
M
Search Engineer
Mendable
Toronto, ON
- $235,000 to $260,000 USD / year
- Full-time
…accessing pages at web scale, and the modern web actively resists automation with detection systems, challenge flows, and fingerprinting that evolve weekly. This role is equal parts…
Added 18 days ago
S
Senior Solutions Engineer
Suger.io
Vancouver, BC
- $120,000 to $160,000 CAD / year
- Full-time
We’re hiring a Senior Solutions Engineer to work directly at the intersection of product engineering and customer integrations.
Added 17 days ago
SE
Senior, Systems Development
Schneider Electric
Richmond, BC
- $114,750 to $162,000 CAD / year
- Full-time
As our portfolio grows and our development programs become increasingly complex, we are looking for a Senior Systems Engineer who can help bring structure, technical direction, and…
Added 18 days ago
Risk Observability & Analytics Engineer
Capgemini
Montreal, QC
Leverage AI Intelligence to optimize architecture and improve automation.
Added 18 days 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…
Added 17 days ago
O
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
- $168,000 to $231,000 CAD / year
- Full-time
In this role, you will join the Agent Access Policies sub-team within Okta Secures AI as a Staff Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing…
Added 17 days ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
In this role, you will join the Agent Access Policies sub-team within Okta Secures AI as a Staff Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing…
Added 18 days ago
C
Pluggable Optical Modems Test Engineer
Ciena
Ottawa, ON
- Full-time
Application of at least one scripting language, such as Python or MATLAB, for test automation.
Added 17 days ago
PI
Research Software Engineer
ProteinQure Inc
Toronto, ON
- $120,000 to $150,000 CAD / year
The Research Software Engineer is responsible for developing, maintaining, and supporting the software tools and computational workflows that enable ProteinQure’s drug discovery research.…
Added 17 days ago
P
ML Engineering Intern - Infrastructure (Spring 2027)
Peripheral
Toronto, ON
- Internship
Proficiency in Python, and some familiarity with infrastructure-as-code or scripting for automation.
Added 17 days ago
A
Summer 2027 Long Term Thermal Mechanical Test Engineer Intern/Co-op
AMD
Markham, ON
- $67,000 USD / year
- Full-time
We are seeking highly motivated Thermal/Mechanical Test Engineer co-op to join our team. In this role –
Added 17 days ago
C
Senior Penetration Tester & Red Team Engineer
Cognizant
Toronto, ON
- Full-time
We are seeking a Senior Penetration Tester / Red Team Engineer to support offensive security initiatives through advanced penetration testing, red team operations, and custom security tool…
Added 17 days ago
C
DevOps/SRE
CGI
Montreal, QC
- Full-time
Compétences en scripting (Bash, Python, PowerShell) pour l'automatisation des processus.

Kraken

AI Platform Engineer, Enablement and Governance Operations

Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 17, 2026

Original job description

Building the Future of Open Finance

Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.

Before you apply, we encourage you to explore our culture page to understand what drives us and how we work.

The team

Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.

Enterprise Transformation owns Kraken's internal AI platform. AI tooling is deployed at scale across the org. Tiered spend controls are live, a governed integration gateway is in production, and a system inventory is being built against real regulatory obligations. The next constraint is not access. It's capability. The frontier moves every few weeks, and most of what arrives is a protocol, API, or primitive that someone has to turn into something the rest of the company can safely use.

The opportunity

Design and build the technical layer of the AI platform, from integration surface to production runbook. Identify capability gaps between what's possible and what the organization can safely use, then close them by evaluating vendors or building internally.
Own the governed integration gateway as an engineering surface. You'll handle connector onboarding, authentication flows including OAuth and federated identity, reliability, and vendor escalation when things break.
Build internal tooling that extends the platform. Think agent scaffolding, reusable skills and prompt assets, evaluation harnesses for model changes, provisioning automation, and integrations between AI tooling and your systems of record.
Configure and operate tiered spend controls across the AI estate. Set caps by role and tier, build alerting rules, manage exception queues, run monthly reconciliation against vendor commitments, and eliminate the current single author risk in cap automation.
Implement the technical controls behind policy on data handling, retention, and model eligibility. This means identity integration, SSO and SCIM, entitlement by role and tier, and workspace configuration where retention terms differ by model class.
Work directly with teams to unblock them. Sit with them, understand the workflow, build or configure the thing that enables them to get real leverage from the tools.
Run technical enablement. Deep dives for tool rollouts, office hours for model releases, and authority over the engineering detail in knowledge base material.
Administer the enterprise AI estate end to end. Model turn ups, feature enablement, deprecation, provisioning queue, vendor configurations, and seat true ups.

What You Bring

Enterprise SaaS administration at 1,000+ seats, ideally including an AI or LLM platform.
Demonstrated ability to build and ship working software, not just configure vendor products. Python or a comparable language should be natural to you. Version control, CI, containers, and secrets management are everyday tools.
Experience integrating against LLM and SaaS APIs with working familiarity of agent and tool use patterns, including MCP or equivalent tool calling architectures.
Working knowledge of identity and access. Okta or an equivalent IdP, OAuth, SCIM, SSO, and federated machine identity are things you've worked with.
Operational discipline. You understand intake queues, SLAs, runbooks, escalation hygiene, and the instinct to document a fix the first time you make it.
Genuine teaching ability. You can explain a technical capability three different ways on the same day to compliance, traders, and backend engineers.
Clear written communication for technical documentation, runbooks, and policy pages.
Judgment about what to build. You can tell the difference between a capability the organization actually needs and a demo that will be abandoned in a month.

Nice to haves

Experience standing up an internal developer or AI platform, including the self service and guardrail layers.
Exposure to FinOps or software asset management practice.
Experience with low code or workflow automation platforms.
Atlassian administration depth in Jira, Confluence, or JSM.
Familiarity with regulated industry audit and evidence work in financial services.

Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.

We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Our commitment

Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.

We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.

As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.

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More about this job

Responsibilities

You will design and build the technical layer of the internal AI platform, including governed integration gateways and internal tooling. Additionally, you will manage enterprise AI estate operations, including spend controls, identity integration, and technical enablement for internal teams.

Requirements

Candidates must have experience in enterprise SaaS administration and demonstrated ability to build and ship software using Python. Proficiency in identity management, API integrations, and operational discipline is essential for this role.

Skills

Python
AI Platform Engineering
LLM
SaaS Administration
Identity and Access Management
OAuth
SSO
SCIM
CI/CD
Containerization
Secrets Management
FinOps
API Integration
Technical Documentation
Agent Scaffolding
Governance

Visa sponsorship

Not detected in the job text

Keywords

AI Platform Engineer
Open Finance
Kraken
Enterprise SaaS
Python
LLM
Governance
Integration Gateway
OAuth
Federated Identity
Okta
SCIM
SSO
CI/CD
Containers
Secrets Management
FinOps
Agent Scaffolding
MCP
Jira
Confluence
JSM
Financial Services
Regulatory Compliance
Provisioning Automation
Technical Enablement
Runbooks
SLA
Vendor Management
Software Asset Management

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