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About the Role

We are seeking an enthusiastic and passionate professional for a Senior Cloud, AI & Data Security Engineer role who wants to design and implement security solutions for systems and services across AWS, Azure, and AI/ML platforms. We need someone who can establish the highest standards that meet and exceed security governance solutions and practices, provide assurance to management and auditors, and ensure sustained protection by embedding controls in operational and DevOps (CI/CD) practices with a focus on automation. We are looking for someone who has a high level of technical security expertise and who takes seriously the responsibility of monitoring, detecting, protecting, and maintaining the security of data, AI/ML systems, cloud platforms, and networks.

Responsibilities

Assess, design, implement, automate, and document security solutions, controls, and processes for Amazon Web Services (AWS) and Microsoft Azure cloud platforms
Develop and maintain security patterns for cloud platforms and services; assess all cloud patterns to ensure adherence to best security practices and controls
Design and implement security baseline controls for Cloud Services for integration into the CI/CD process
Build and deliver policies as code, automating security controls and best practices
Review and approve code and changes with security implications (e.g., IAM Roles and Policies, Security Groups, etc.)
Be the cloud security subject matter expert for the Cloud Engineering group and its partners in any IaaS, PaaS, and SaaS implementations
Define and implement a security framework for AI/ML systems, covering the full model lifecycle from data ingestion and training to deployment and monitoring
Assess and mitigate AI-specific threats including adversarial attacks, model inversion, data poisoning, prompt injection, and model theft
Evaluate and secure AI/ML platforms and tools (e.g., Amazon SageMaker, Azure Machine Learning, Hugging Face, OpenAI APIs) against organizational risk standards
Collaborate with data science and AI engineering teams to integrate security controls into MLOps pipelines, ensuring model integrity, access controls, and auditability
Monitor emerging AI threat landscapes and regulatory developments (e.g., EU AI Act, NIST AI RMF) and translate these into actionable organizational controls
Implement and manage data security posture management (DSPM) tools to continuously monitor sensitive data exposure across cloud environments
Establish controls for structured and unstructured data stores, including databases, data lakes, data warehouses (e.g., Snowflake, AWS S3, Azure Data Lake), and file sharing platforms
Drive the adoption of data-centric security practices within application development and analytics teams
Provide subject matter expertise on architecture, authentication, and systems security based on a clear understanding of the engineering stack, services, and data flow
Lead focused and continuous cybersecurity risk assessments of new and existing technologies - including AI/ML systems and data platforms - to identify risks and appropriate controls that balance security and operability
Provide effective and pragmatic cybersecurity guidance upfront in major technology projects to enable the business to innovate securely
Assist in the investigation and remediation of security incidents and issues, including those involving AI model compromise or data breaches
Work closely with Information Security, product, and software development teams to assess cybersecurity risk and recommend solutions in cloud, AI, and data environments

Requirements

You are a leader with a strong technical background.
You have demonstrated strength in developing and implementing secure cloud and AI/ML architectures using a risk-based cybersecurity and data privacy strategy
You have demonstrated strength in defining security patterns, roadmaps, and operating models that leverage collaboration
You have demonstrated strength in facilitating industry-standard information security governance
You have demonstrated strength in advising senior leadership on cybersecurity, AI risk, and privacy risks, threats, and investment strategies
You have demonstrated strength in documenting appropriate policies and procedures to manage information security risks, including those unique to AI/ML systems and sensitive data assets
You should possess the ability to inspire yourself and all of our team.
Based on your previous experiences, you will inject new knowledge and skills into an already high-performing team, thus elevating our efforts to new heights.
You are a self-starter, driven, and can handle multiple projects and priorities
You are passionate about driving the DevSecOps and MLSecOps mindset and culture in a fast-paced, challenging environment where you get the opportunity to work with the latest tools and technologies
You understand the intersection of security, AI, and data, and actively seek to build bridges between these disciplines
You are actively looking to improve the solutions you implement, understand the efficacy of collaboration, and are keen to work in a team of CI/CD, infrastructure, AI, and data specialists
You are energized by the rapidly evolving AI threat landscape and bring intellectual curiosity and practical judgment to navigating ambiguity
As a member of this team, you will inject new knowledge and skills into an already high-performing team, elevating our collective efforts to new heights.
Demonstrable internal and external relationship-building skills with the ability to clearly articulate complex security concepts across a diverse corporate culture
Ability to lead in-depth workshops across a broad range of topics including cloud compliance, AI risk, and data governance
Strong ability to influence decision-making at senior leadership levels
Strong interpersonal, communication, and leadership skills
A critical thinker with strong research, analytical, and problem-solving skills
Self-motivated with a positive attitude and an ability to work independently and within a team
Ability to communicate complex technical concepts to a broad range of internal and external stakeholders, including business, legal, compliance, and technology leaders
Strong time management skills with the ability to manage multiple workstreams and mentor less experienced team members

Skills

AWS
Azure
AI/ML platforms
Security governance
DevOps (CI/CD)
Automation
Risk-based cybersecurity
Data privacy strategy
Security patterns
Roadmaps
Operating models
Information security governance
Cybersecurity risk
AI risk
Privacy risks
Cloud Security
AI & Machine Learning Security
Data Security
General Security Leadership
Architecture
Authentication
Systems security
Cybersecurity risk assessments
Information Security
DevSecOps
MLSecOps
Python
PowerShell
Bash
Node.js
API/webhook development
Infrastructure as Code (IaC) security scanning
Networking protocols
Packet analysis
Cryptography
Identity and Access Management (IAM)
SSO
SAML
Federated identity
RBAC
OAuth/OIDC

Location

320 S Canal Street

Work Type

Salaried

Experience Level

7-10 years of experience developing and implementing security architectures and/or engineering, with demonstrated breadth across cloud, data, and/or AI security domains

Education Level

A university degree in Engineering, Computer Science, Information Technology, or a related field
Security certifications such as CISSP, CCSP, CCSK, or any Cloud Security Specialty certification (e.g., AWS Certified Security Specialty, Microsoft Certified: Azure Security Engineer Associate)
Emerging/preferred: Certifications or demonstrated knowledge in AI security (e.g., CDAI, CompTIA AI+, or equivalent vendor-specific AI security training) or data security (e.g., CDPSE, CIPP)

Salary/Compensations

$122,400.00 - $228,000.00

Benefits

health insurance
tuition reimbursement
accident and life insurance
retirement savings plans

About the Company

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at http://jobs.bmo.com/us/en

Equal Opportunity

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.