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ATB

Lead AI Security Developer

Calgary, AB, Canada
Edmonton, AB, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 26, 2026

Original job description

At ATB, we exist to make it possible for our clients, team members and communities. Our purpose is more than aspirational. It's a real commitment we live every day through our values (what we call the ATB ID).

Life at ATB is about more than work. In fact, we’re consistently recognized as one of Canada's top employers thanks to our high-care, high-performance culture, upheld by the three commitments we make to our team members:

Impact in action: No matter where you are in the organization, you're empowered to make an impact in the lives of our clients and communities.

Thrive together: We want you - the unique, authentic you - to feel safe and celebrated at work. We're on a continuous journey to build the most flexible and inclusive programs.

Ready for tomorrow: We want to enable your success through interesting and challenging work, performance enablement, and learning and development.

About the role

This position has a hybrid work arrangement. On average, this means 1-2 day(s) on-site per week. Please note that this is subject to change due to business priorities.

As ATB’s next AI Security Developer, you'll help us build and operate the security capabilities needed to protect ATB's growing use of artificial intelligence. You'll develop and integrate security tools, automation, and safeguards that help us understand how AI is being used, identify risks, and protect our applications, data, and systems. This is a hands-on security role where you'll work closely with cybersecurity, technology, and AI development teams to make secure AI adoption practical, scalable and consistent.

Accountabilities

Design, develop, and maintain AI security tools, integrations, and automation using modern programming languages and APIs.
Implement, review and operate security controls for AI applications, large language models (LLMs), and autonomous AI agents.
Build integrations with AI platforms, model gateways, and security tools to improve visibility, monitoring, and enforcement of security policies.
Develop automated testing capabilities to identify AI-specific vulnerabilities, including prompt injection, sensitive data exposure, insecure tool usage, and excessive agent permissions.
Implement safeguards such as input and output validation, model guardrails, access controls, and secure API integrations.
Develop monitoring and logging capabilities to track AI activity, detect unusual behaviour, and support security investigations.
Integrate security testing and controls into development pipelines to help teams identify and address risks earlier.
Evaluate emerging AI technologies, frameworks, and security solutions through hands-on experimentation and proof-of-concept development.
Collaborate with application development, cloud security, security architecture, and AI teams to implement practical security solutions.
Maintain clear technical documentation and continuously improve the reliability, performance, and effectiveness of AI security capabilities.

Skills, experience & requirements

Experience developing software using Python or another modern programming language, with a strong understanding of APIs, integrations, and software engineering practices.
Familiarity with large language models (LLMs), generative AI applications, and AI development frameworks.
Understanding of application security fundamentals, including authentication, authorization, secrets management, secure coding, and API security.
Experience working with REST APIs, JSON, Git, and modern CI/CD development workflows.
Familiarity with cloud platforms such as Google Cloud Platform (GCP), AWS, or Microsoft Azure.
Understanding of AI specific security risks, including prompt injection, data leakage, insecure tool execution, and excessive agent permissions.
Familiarity with AI agents, tool calling, Model Context Protocol (MCP), or AI gateway technologies is considered an asset.
Experience with security automation, vulnerability testing, monitoring, or security tooling integrations is considered an asset.
Knowledge of containerization technologies such as Docker and infrastructure as code practices is considered an asset.
Strong troubleshooting and problem solving skills, with the ability to work independently through unfamiliar technical challenges.
Ability to collaborate with developers, security professionals, and technology teams to deliver practical solutions.
A diploma or degree in Computer Science, Software Engineering, Cybersecurity, or equivalent practical experience.

Don’t meet all the requirements on the list?
A resume only goes so far in expressing who you are and the unique perspectives you bring. If you believe your skills and experience align with the role - but you might not check all the boxes - we want to hear from you. We encourage candidates from all work backgrounds, equity-seeking communities and experience levels to apply. If you’re seeking a career where your drive, perspective and growth are celebrated, we want to hear from you.

We’re dedicated to building a workforce reflective of those within our communities, and a culture where our team members are equipped with what they need to succeed - their way. Part of creating an inclusive workplace is recognizing our role in advancing Truth and Reconciliation. We are committed to meeting and exceeding the standards set out in the Partnership Accreditation in Indigenous Relations program created by the Canadian Council for Aboriginal Business.

What happens next?
If you are shortlisted, you’ll hear from us after the posting closes. Check out our How We Hire page to learn more about our hiring process. If you need any accommodations throughout this process, please let us know at talentteam@atb.com

Stay in touch
We’re excited that you’re interested in a career with ATB. Follow us on LinkedIn, Facebook and Instagram to learn more about what our team is up to.

Apply About employer

More about this job

Responsibilities

Design, develop, and maintain security tools and automation to protect AI applications, large language models, and autonomous agents. Collaborate with cross-functional teams to integrate security controls into development pipelines and ensure scalable, secure AI adoption.

Requirements

Requires experience in software development with Python and a strong understanding of application security fundamentals and AI-specific risks. Candidates should hold a degree or diploma in Computer Science, Software Engineering, Cybersecurity, or possess equivalent practical experience.

Skills

Python
AI Security
Large Language Models
Cybersecurity
API Security
Cloud Security
Automation
Prompt Injection Defense
CI/CD
REST APIs
Software Engineering
Data Protection
Vulnerability Testing
Containerization
Infrastructure as Code
Problem Solving

Benefits

Flexible work programs
Learning and development opportunities
Performance enablement

Visa sponsorship

Not detected in the job text

Keywords

AI Security
Python
Large Language Models
LLM
Cybersecurity
API
Automation
Prompt Injection
Cloud Security
GCP
AWS
Azure
Docker
Infrastructure as Code
CI/CD
REST APIs
JSON
Git
Model Context Protocol
AI Gateway
Vulnerability Testing
Software Engineering
Authentication
Authorization
Secrets Management
Secure Coding
Data Leakage
Agent Permissions
Security Architecture
Cloud Platforms

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