ai sr. principal cybersecurity architect Jobs in Chicago

ai sr. principal cybersecurity architect

ai developer

ai enablement intern

ai engineering intern - summer 2026 Jobs in Chicago

ai engineering intern - summer 2026

applied ai/ml - vice president Jobs in Chicago

applied ai/ml - vice president

manager forward deployed engineering generative ai google cloud

Google

<div>The application window will be open until at least May 12, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree in science, technology, engineering, mathematics, or equivalent practical experience.</li>
<li>10 years of experience in cloud computing or a technical customer-facing role, with experience in Python.</li>
<li>2 years of experience managing a software engineering, forward deployed engineering, or a similar technical customer-facing team in a cloud computing environment.</li>
<li>Experience developing AI/Generative AI solutions utilizing AI tools and designing multi-agent workflows and RAG systems.</li>
<li>Experience managing technical teams.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in AI, computer science, or a related technical field.</li>
<li>Experience architecting AI solutions within infrastructures, ensuring data sovereignty and secure governance.</li>
<li>Experience in designing intuitive interfaces for AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.</li>
<li>Ability to design secure, observable multi-agent systems using design patterns (e.g., ReAct, self-reflection, etc.), state management, and tool-calling protocols.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
As a Manager of the generative AI Forward Deployed Engineering (FDE) team, you will lead AI/ML engineers who bridge the gap between AI products and production reality within customers. In this role, you will provide technical mentorship to the team, managing high-level strategic alignment with product, engineering, and Google Cloud regional sales leadership. You will be responsible for empowering and unblocking the team as they resolve production obstacles, including data readiness issues, integration complexities, and state-management challenges that hinder AI from achieving enterprise-grade maturity.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $234,000-$325,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Establish code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.</li>
<li>Partner with sales and tech leadership to define requirements for high-value opportunities, deploying specialized experts (e.g., ML operations, generative media, or agentic systems) to key accounts.</li>
<li>Lead technical hiring for forward deployed engineering, evaluating AI/ML, systems engineering, and coding skills to build an engineering squad.</li>
<li>Identify skill gaps in emerging tech (e.g., MCP, tool-calling, and foundation models), ensuring the team maintains subject matter knowledge in an evolving AI stack.</li>
<li>Collaborate with product and engineering to resolve blockers and translate field insights into roadmaps, building internal tools to drive organizational efficiency.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Manager, Forward Deployed Engineering, Generative AI, Google Cloud

Applied Machine Learning Engineer – ML & AI Systems

Zekelman Industries

<div>You may not know our name, but you know our products. What we make is part the places where we live, work and play &ndash; all day, everyday.
Zekelman is a family of companies &mdash; 100% domestic manufacturers &mdash; with a legacy dating back to 1877. We&rsquo;re proud to be the largest independent steel pipe and tube manufacturer in North America and the leading innovator in multi-family housing development.
We believe in what we build and what we build, builds the world around us. Hospitals, hotels, schools, bridges, airports and more.
Come build a career you believe in.
About the Role 
As an AI Developer at Zekelman Industries, reporting to the Vice President of AI and Innovation, you will design, build, and deploy intelligent solutions that transform how our business operates across HR, Finance, Supply Chain, Sales, and IT. This position requires deep expertise in modern AI development&mdash;spanning agentic frameworks, generative AI, and enterprise cloud platforms&mdash;and offers the opportunity to contribute directly to embedding automation and intelligent decision-making into core workflows that drive measurable business impact.<div></div>
You will collaborate with cross-functional teams and stakeholders across the organization, ensuring complex business challenges are translated into scalable, production-ready AI solutions. This is a remote role.<div></div>
This role is ideal for someone who thrives at the intersection of cutting-edge AI tooling and practical business impact, brings a strong hands-on development background, and can operate across the full solution lifecycle from prototype to production.<div></div>
What You&rsquo;ll Do<ul><li>
Design, develop, and deploy AI solutions using both code-first development and low-code/no-code platforms such as Microsoft Power Platform and Azure AI Studio &ndash; Deliver intelligent automation that integrates seamlessly into enterprise workflows</li><li>
Build and orchestrate AI agents and multi-agent systems using modern agentic frameworks &ndash; Create autonomous systems that solve complex, multi-step business problems</li><li>
Engineer and fine-tune prompts for large language models (LLMs) and integrate foundation models and generative AI capabilities into enterprise applications &ndash; Embed generative AI into real-world use cases across Microsoft 365, ERP, and CRM platforms</li><li>
Deploy, monitor, and manage AI workloads on Microsoft Azure following MLOps best practices &ndash; Ensure solutions are scalable, reliable, and production-grade</li><li>
Select and apply appropriate AI/ML techniques&mdash;supervised learning, unsupervised learning, reinforcement learning, and generative AI&mdash;to solve business problems &ndash; Match the right technical approach to the challenge</li><li>
Leverage AI-native development tools including GitHub Copilot, Cursor, and Azure AI Foundry to accelerate solution delivery &ndash; Improve developer productivity and solution quality</li><li>
Integrate AI solutions into existing enterprise systems via APIs and connectors &ndash; Bridge intelligent automation with legacy and modern platforms</li><li>
Collaborate with AI team members to translate business improvement opportunities into AI-driven automation and intelligent decision support &ndash; Turn strategic goals into deployable solutions</li><li>
Maintain and monitor deployed solutions, tracking model performance, data drift, and business KPIs &ndash; Ensure sustained performance and continuous improvement</li><li>
Document technical architectures, maintain version-controlled codebases, and uphold software engineering best practices including Git, CI/CD, and code review &ndash; Build maintainable, auditable solutions</li><li>
Stay current on evolving AI tooling, model releases, and platform capabilities and evaluate new approaches for adoption &ndash; Keep Zekelman at the forefront of AI innovation</li><li>
Lead and promote healthy and safe work practices as required by regulatory agencies and Company policy</li></ul><div></div>
Who You Are<ul><li>
5 years of combined professional and academic experience in AI/ML development, with a minimum of 3 years of hands-on experience developing and deploying production AI solutions</li><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related technical field (Master&rsquo;s degree in Artificial Intelligence, Machine Learning, or related discipline preferred)</li><li>
Demonstrated experience designing and building agentic AI systems or multi-agent workflows</li><li>
Hands-on experience deploying AI workloads on Microsoft Azure and/or Google Cloud Platform</li><li>
Proven use of low-code/no-code AI platforms in delivering business solutions</li><li>
Strong portfolio of AI projects demonstrating breadth across model development, deployment, and business integration</li><li>
Excellent problem-solving abilities and comfort working at the intersection of technical depth and business strategy</li><li>
Strong collaboration and communication skills with ability to translate technical concepts for non-technical stakeholders</li><li>
Experience in manufacturing or industrial environments a plus; metals and steel industry experience is a strong differentiator</li></ul><div></div>
What You&rsquo;ll Get 
Zekelman Industries offers competitive compensation and excellent benefits, including low-cost, high-quality medical and dental benefits. In addition, we have an outstanding tuition assistance program, a bonus plan, a 401(k) plan with a generous company match, loyalty awards, and more:<ul><li>
Competitive Compensation</li><li>
Bonus Plan &amp; Profit-Sharing Opportunities</li><li>
401(k) with Company Match</li><li>
Comprehensive Health, Dental &amp; Vision Insurance</li><li>
Tuition Assistance Program</li><li>
Paid Vacation &amp; Holidays</li></ul>
Zekelman Industries offers competitive compensation and excellent benefits, including low-cost, high-quality medical and dental benefits. In addition, we have an amazing tuition assistance program, a bonus plan, a 401(k) plan with a generous company match, immediate vesting, and much more.
M/F/D/V
We are Zekelman Industries.
We manufacture superior quality tubular and related products, and provide outstanding service for our valued customers.
We seek to continuously advance the skills and opportunities of our employees, utilizing the latest technology and management tools available to consistently increase profitability and the enterprise value of Zekelman Industries and of our customers.</div>

AI Developer

Applied Systems

<div>Job Description:

Amazing Career Moments Happen Here 
Transforming the insurance industry is ambitious, we know. That&rsquo;s why at Applied, we&rsquo;re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers &ndash; all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we&rsquo;re not just redefining what&rsquo;s achievable, we&rsquo;re creating a place where amazing career moments are made possible. 
Position Overview<div> 
We're seeking an Associate AI Engineer / AI Engineer to build and enhance data solutions and AI initiatives for the business of insurance.</div><div>
In this role, you will work closely with the Principal Data Architect, Data Scientists, and Software Engineers to build, model, and maintain data solutions as we optimize data architecture and accessibility of large-scale datasets for our global teams.</div><div></div><div> 
What You&rsquo;ll Do</div><ul><li>
Partner with Product, Engineering, and Data Science leaders to design and deliver AI-powered user experiences in our dashboard products</li><li>
Build and integrate conversational AI solutions (e.g., Vertex AI, Generative AI APIs) into Applied&rsquo;s products</li><li>
Use AI tools responsibly (e.g., code assistance, test generation, analysis, and documentation) to accelerate velocity and improve quality while validation outputs and ownership of contributions to the customer experience</li><li>
Work with Google Cloud APIs, Vertex AI, and related services to enable intelligent workflows</li><li>
Prototype and implement AI-driven insights and recommendations directly in dashboards for client use</li><li>
Collaborate with UX and product teams to design seamless user experiences powered by AI</li><li>
Support development of generative AI prototypes, prompt design, and fine-tuned models</li><li>
Stay current on advancements in Google Cloud, conversational AI, and applied AI engineering</li><li>
Assist senior engineers and scientists on larger initiatives to scale AI capabilities across the platform</li></ul><div> 
We&rsquo;re Excited to Learn More About You</div><div></div><ul><li> 
Hybrid: Ability to work from an Applied Systems office on an ad hoc basis, with remote work days for deep work.</li></ul><ul><li> 
Must have:</li></ul><ul><li>
Strong programming skills in Python and SQL.</li><li>
Exposure to data science concepts (predictive modeling, ML/AI basics, or coursework/projects).</li><li>
Interest in applied AI, conversational AI, and building user-facing insights.</li><li>
Familiarity with cloud platforms (Google Cloud preferred) or willingness to learn quickly.</li><li>
Understanding of APIs and how applications connect to each other.</li><li>
Problem-solving skills with curiosity and eagerness to experiment and explore new technologies.</li></ul><ul><li> 
Nice to have (but not required):</li></ul><ul><li>
Experience with Google Cloud tools such as Vertex AI, Dialogflow, or BigQuery.</li><li>
Familiarity with dashboards/visualization tools (Looker, Tableau, or Power BI).</li><li>
Version control knowledge (Git).</li></ul><ul><li> 
Education: Bachelor's or Master's degree in a related field (e.g., Computer Science, Data Science, Engineering, or related field)</li><li><ul><li>
We proudly support and encourage people with military experience, as well as military spouses, to apply.</li></ul></li></ul><div></div> 
When You Join Team Applied, You Can Expect: 
A culture that values who you are and recognizes that you aren&rsquo;t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day. 
We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them. 
A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:<ul><li>
Medical, Dental, and Vision Coverage</li><li>
Holiday and Vacation Time</li><li>
Health &amp; Wellness Days</li><li>
A Bonus Day for Your Birthday</li></ul> 
 
Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/ 
Our targeted starting base salary in the United States for this position ranges from $80,000 - $120,000. To determine a new team member&rsquo;s starting pay, we consider a variety of factors, including someone&rsquo;s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission. 
Your Security Matters: 
 Our candidates&rsquo; personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. 
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don&rsquo;t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law. 
#LI-Hybrid</div><div></div>

Associate AI Engineer / AI Engineer

BMO Financial Group

<div><div><div><div><div><div><div><div>Application Deadline:
</div></div></div></div></div></div></div>05/28/2026
Address:
320 S Canal Street
Job Family Group:
Technology
We are seeking an enthusiastic and passionate professional for a Senior Cloud, AI &amp; 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 .
You are a leader with a strong technical background. You have demonstrated strength in:
<ul><li>Developing and implementing secure cloud and AI/ML architectures using a risk-based cybersecurity and data privacy strategy
</li><li>Defining security patterns, roadmaps, and operating models that leverage collaboration
</li><li>Facilitating industry-standard information security governance
</li><li>Advising senior leadership on cybersecurity, AI risk , and privacy risks, threats, and investment strategies
</li><li>Documenting appropriate policies and procedures to manage information security risks, including those unique to AI/ML systems and sensitive data assets
</li></ul>As a qualified candidate, you will be part of the team driving BMO's Cloud, AI, and Data Security implementation. As a member of this team, 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.
<div></div>Your Responsibilities
Cloud Security
<ul><li>Assess, design, implement, automate, and document security solutions, controls, and processes for Amazon Web Services (AWS) and Microsoft Azure cloud platforms
</li><li>Develop and maintain security patterns for cloud platforms and services; assess all cloud patterns to ensure adherence to best security practices and controls
</li><li>Design and implement security baseline controls for Cloud Services for integration into the CI/CD process
</li><li>Build and deliver policies as code , automating security controls and best practices
</li><li>Review and approve code and changes with security implications (e.g., IAM Roles and Policies, Security Groups, etc.)
</li><li>Be the cloud security subject matter expert for the Cloud Engineering group and its partners in any IaaS, PaaS, and SaaS implementations
</li></ul>AI &amp; Machine Learning Security
<ul><li>Define and implement a security framework for AI/ML systems , covering the full model lifecycle from data ingestion and training to deployment and monitoring
</li><li>Assess and mitigate AI-specific threats including adversarial attacks, model inversion, data poisoning, prompt injection, and model theft
</li><li>Evaluate and secure AI/ML platforms and tools (e.g., Amazon SageMaker, Azure Machine Learning, Hugging Face, OpenAI APIs) against organizational risk standards
</li><li>Collaborate with data science and AI engineering teams to integrate security controls into MLOps pipelines , ensuring model integrity, access controls, and auditability
</li><li>Monitor emerging AI threat landscapes and regulatory developments (e.g., EU AI Act, NIST AI RMF) and translate these into actionable organizational controls
</li></ul>Data Security
<ul><li>Implement and manage data security posture management (DSPM) tools to continuously monitor sensitive data exposure across cloud environments
</li><li>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
</li><li>Drive the adoption of data-centric security practices within application development and analytics teams
</li></ul>General Security Leadership
<ul><li>Provide subject matter expertise on architecture, authentication, and systems security based on a clear understanding of the engineering stack, services, and data flow
</li><li>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
</li><li>Provide effective and pragmatic cybersecurity guidance upfront in major technology projects to enable the business to innovate securely
</li><li>Assist in the investigation and remediation of security incidents and issues, including those involving AI model compromise or data breaches
</li><li>Work closely with Information Security, product, and software development teams to assess cybersecurity risk and recommend solutions in cloud, AI, and data environments
</li></ul><div></div>Your Mindset
<ul><li>You are a self-starter , driven, and can handle multiple projects and priorities
</li><li>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
</li><li>You understand the intersection of security, AI, and data , and actively seek to build bridges between these disciplines
</li><li>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
</li><li>You are energized by the rapidly evolving AI threat landscape and bring intellectual curiosity and practical judgment to navigating ambiguity
</li><li>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
</li></ul><div></div>Required Core Skills
Foundational
<ul><li>A university degree in Engineering, Computer Science, Information Technology , or a related field
</li><li>7-10 years of experience developing and implementing security architectures and/or engineering, with demonstrated breadth across cloud, data, and/or AI security domains
</li><li>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)
</li><li>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)
</li></ul>Cloud Security
<ul><li>Demonstrated knowledge of cloud architecture, cloud operations, cloud-based identity and access management, security automation, and orchestration
</li><li>Extensive experience with cloud-native security solutions and tools (e.g., AWS Security Hub, AWS GuardDuty, Microsoft Defender for Cloud, Azure Sentinel)
</li><li>Knowledge of technical security control environments and compliance frameworks including CSA CCM, ISO 27001, ISO 27017, and NIST CSF
</li></ul>AI &amp; ML Security
<ul><li>Working knowledge of AI/ML development frameworks and platforms (e.g., TensorFlow, PyTorch, SageMaker, Azure ML) and associated security risks
</li><li>Familiarity with the OWASP Top 10 for LLMs , MITRE ATLAS , and NIST AI Risk Management Framework (AI RMF)
</li><li>Understanding of MLOps pipeline security , including securing model registries, feature stores, training environments, and inference endpoints
</li><li>Knowledge of Generative AI security risks , including prompt injection, jailbreaking, data leakage via LLMs, and supply chain risks in AI model dependencies
</li></ul>Data Security
<ul><li>Experience implementing data loss prevention (DLP) , data classification , and data access governance solutions in enterprise environments
</li><li>Knowledge of DSPM tools and practices
</li><li>Understanding of data encryption at rest and in transit , tokenization, and key management for large-scale data environments
</li><li>Familiarity with data privacy regulations (e.g., PIPEDA, GDPR, CCPA) and their technical implementation requirements
</li><li>Experience securing cloud-based data platforms such as Snowflake, Databricks, AWS Redshift, Azure Synapse, or equivalent
</li></ul>Technical Skills
<ul><li>Firm grasp of networking protocols and operations ; comfortable with packet analysis tools such as Wireshark, Burp Suite, nmap, Nessus, and Metasploit
</li><li>Knowledge of theoretical and applied cryptography , key management, and cryptographic algorithms (RSA, AES, TLS, PKI, etc.)
</li><li>Knowledge of Identity and Access Management (IAM) concepts including SSO, SAML, federated identity, RBAC, and OAuth/OIDC
</li><li>Strong scripting and programming skills with experience in Python, PowerShell, Bash, Node.js , and API/webhook development
</li><li>Experience with Infrastructure as Code (IaC) security scanning tools (e.g., Checkov, tfsec, Prisma Cloud)
</li></ul>Interpersonal &amp; Leadership
<ul><li>Demonstrable internal and external relationship-building skills with the ability to clearly articulate complex security concepts across a diverse corporate culture
</li><li>Ability to lead in-depth workshops across a broad range of topics including cloud compliance, AI risk, and data governance
</li><li>Strong ability to influence decision-making at senior leadership levels
</li></ul><div></div>Other Skills
<ul><li>Strong interpersonal, communication, and leadership skills
</li><li>A critical thinker with strong research, analytical, and problem-solving skills
</li><li>Self-motivated with a positive attitude and an ability to work independently and within a team
</li><li>Ability to communicate complex technical concepts to a broad range of internal and external stakeholders, including business, legal, compliance, and technology leaders
</li><li>Strong time management skills with the ability to manage multiple workstreams and mentor less experienced team members
</li></ul><div></div>Why Join Us?
This is a rare opportunity to shape the cloud, AI, and data security strategy of one of Canada's largest financial institutions at a time when these domains are converging and rapidly evolving. You will work at the forefront of emerging threats, influence enterprise-wide security standards, and collaborate with world-class teams across technology, risk, and innovation.
Salary :
$122,400.00 - $228,000.00
Pay Type:
Salaried
The above represents BMO Financial Group&rsquo;s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.
BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
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 &ndash; for yourself and our customers. We&rsquo;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&rsquo;ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at http://jobs.bmo.com/us/en
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.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</div>

Senior Cloud Security Engineer

<div><div><div><div><div><div><div><div>Application Deadline:
</div></div></div></div></div></div></div>06/29/2026
Address:
1630 Chicago Road
Job Family Group:
Technology
We are seeking an enthusiastic and passionate leader with strong leadership qualities and a collaborative spirit to help support our vision and mission of advancing cloud and AI security capabilities at BMO Financial Group. Our ideal candidate will be a dynamic driver for change and an experienced technical leader with a proven track record of success in security engineering.
The successful candidate will lead the day-to-day direction of the Cloud and AI Security Engineering teams, defining and enabling secure cloud infrastructure, AI/ML security frameworks, data protection strategies, and security automation capabilities to drive innovation, modernization, and delivery of robust security solutions at scale. The team is tasked with developing security patterns, architectures, and integration capabilities to protect enterprise AI systems, cloud platforms, and data assets while enabling the Enterprise AI and Data Scientist community to operate securely.
You have a proven record of building, motivating, and energizing a diverse technical team tasked with delivering complex security initiatives under tight timelines. You are a hands-on leader with a passion for continuous improvement and the ability to plan, prioritize, and structure the work of an agile team. You are a strong advocate for operational excellence and have a passion for innovation, secure product delivery, and collaboration.
Your extensive experience with security engineering, cloud services, and AI/ML platforms has equipped you to provide technical guidance and supervision to your team and contribute to the development of a multi-year security strategy for the portfolio of products under your management. The individual in this role will be expected to work collaboratively with all levels of leadership and promote a healthy work environment that fosters positive team alignment within T&amp;O.
Responsibilities
<ul><li>Working with the Security and Platform Engineering leadership to:
</li><li>Manage and provide guidance to the team on the development of highly scalable, flexible, and resilient cloud and AI security frameworks, including threat detection, identity and access management, data protection, and security monitoring capabilities
</li><li>Lead the design and implementation of security architectures for Cloud Platforms, AI/ML systems, including model security, data pipeline protection, and adversarial threat mitigation
</li><li>Enhance the capacity of the Cloud and AI Security Engineering team through new hiring, coaching, training, and hands-on leadership while maintaining and fostering BMO Values
</li><li>Create and maintain a work environment that promotes client service, teamwork, performance feedback, individual recognition, mutual respect, and employee satisfaction, ensuring quality hiring, training, and succession planning processes that encompass the company's diversity commitment
</li><li>Oversee the day-to-day work of the Cloud and AI Security Engineering team, including security product evaluation, deployment, security pattern development and enhancement, security service integration, infrastructure-as-code security automation, and security best-practice documentation
</li><li>Develop long- and short-term work plans for the Cloud and AI Security Engineering team to meet the goals set in the enterprise Cloud Security Target Architecture
</li><li>Provide consistent collaborative leadership with senior executives to help drive security goals and objectives that will improve operational efficiencies and risk posture
</li><li>Drive adherence to Agile methodologies, including playing a role of scrum lead
</li><li>Establish and maintain security standards, policies, and compliance frameworks for cloud and AI environments
</li><li>Partner with Enterprise Security, Risk Management, and Compliance teams to ensure alignment with regulatory requirements and industry standards
</li></ul>Required Core Skills
<ul><li>At least 8 years of experience in a technical security role in a large enterprise environment
</li><li>Deep expertise in cloud security architecture, including identity management, network security, encryption, and security monitoring across major cloud platforms (AWS, Azure, GCP)
</li><li>Strong knowledge of AI/ML security principles, including model security, data protection, adversarial machine learning, and secure ML pipelines
</li><li>Solid understanding of cloud security frameworks and standards (NIST, ISO 27001, SOC 2, CSA CCM)
</li><li>Experience leading development and support of enterprise security capabilities and platforms
</li><li>Strong understanding of Cloud Native Security Architecture, Zero Trust principles, and Security-as-Code
</li><li>Solid knowledge of Cloud Security, DevSecOps, threat modeling, and enterprise change management processes
</li><li>Strong technical leadership skills, including coaching, team building, and conflict resolution
</li><li>Experience implementing security automation, CI/CD security integration, and DevSecOps methodologies
</li><li>Advanced communication skills catered to a wide variety of audiences (e.g., written, verbal, presentation)
</li><li>A critical thinker with strong analytical and problem-solving skills and advanced multi-tasking and prioritization abilities
</li><li>Ability to engage, lead, and drive security vendors working closely with our Vendor Management function
</li><li>Organizational and strategic management skills, including budget and business planning and forecasting
</li><li>Advanced relationship management skills, including partnering and consulting with senior management and executive roles for internal and external partners
</li><li>Extensive business acumen, technical knowledge, and industry experience encompassing cloud security, AI security, and security product domains
</li><li>Relevant security certifications preferred (CISSP, CCSP, CISM, or equivalent)
</li><li>A strong team player, self-motivated with a positive attitude
</li></ul>Salary :
$150,700.00 - $261,800.00
Pay Type:
Salaried
The above represents BMO Financial Group&rsquo;s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.
BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
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 &ndash; for yourself and our customers. We&rsquo;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&rsquo;ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at http://jobs.bmo.com/us/en
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.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</div>

Director Cloud Security AI Engineering

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: 
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul> 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Chicago, IL, USA; Kirkland, WA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience. 
</li>
<li>4 years of experience in financial planning and analysis (FP&amp;A), consulting, or a related function, or an advanced degree. 
</li>
<li>Experience executing full-cycle FP&amp;A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience with building data infrastructure (e.g., designing architecture, building data pipelines, implementing scalable monitoring) and implementing reporting solutions. 
</li>
<li>Experience developing strategies in fast-paced competitive environments, and excellent business judgment for resource allocation decisions to achieve the desired business outcome.</li>
<li>Expertise with SQL and data visualization tools.</li>
<li>Ability to work with data to produce analysis, influencing decision making with numerical analysis and generating insights. 
</li>
<li>Excellent analytical and quantitative modeling skills.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. While working on multiple projects at a time, you are focused on the details while finding creative ways to solve big picture challenges.

We are hiring across the Google Cloud ecosystem and you will have the opportunity to support unique areas ranging from Cloud Product and Infrastructure cost management to Go-to-Market (GTM) strategy for AI solutions and professional services.
The name Google came from &quot;googol,&quot; a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
The US base salary range for this full-time position is $117,000-$167,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Perform analysis of datasets to extract relevant information, identify trends, and generate actionable insights for the business. 
</li>
<li>Identify, evaluate, and prioritize risks followed by coordinated and economical application of resources to minimize, monitor, and control the probability or impact of unfortunate events or to maximize the realization of opportunities. 
</li>
<li>Manage projects involving multiple stakeholders, timelines, organizational implications, and changing circumstances. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Financial Analyst, Google Cloud

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