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About the Role

This role focuses on the design, review, deployment, and management of AI Security architecture and AI Solutions at Celestica. It involves ensuring the secure deployment of AI products/services, administering AI models, and managing AI Agents and infrastructure. The role also provides governance for AI consumption, including usage policies, token optimization, and model selection, all while maintaining strict security controls. Reporting to Corporate IT Security leadership, this position collaborates with internal IT and business units, as well as external vendors, to meet and exceed customer security requirements.

Responsibilities

Architects, designs, and secures AI Solutions in multi-cloud environments (GCP, Azure, AWS).
Sets up, maintains, and governs subscriptions to AI Vendors like Anthropic and OpenAI, including AI Fin Ops.
Architects, builds, and enforces security guardrails for AI Agents.
Participates in security reviews of new applications with AI Features.
Leads product selection or review for new cloud and AI security technologies, conducting Proof of Concepts (POCs) and technical evaluations.
Establishes and maintains relationships with process owners to assess business risks and develop mitigation strategies.
Designs and participates in the management of AI security policies, standards, guardrails, and roadmaps.
Manages consumption of internal AI services like Vertex AI and Azure AI Foundry.
Designs AI Guardrails and rules to secure AI Agents and data.
Establishes and maintains relationships with process owners to assess AI-related business risks, threats, and mitigation strategies.
Designs and implements security controls for SaaS and PaaS AI integrations for data protection, DLP, and regulatory compliance.
Communicates governance and compliance objectives to foster a compliant security culture.

Requirements

Operational knowledge and experience deploying and running solutions in Microsoft Azure, Google Cloud Platform, and AWS.
Knowledge of Cloud and AI Fin Ops.
Demonstrated development experience including coding or scripting (e.g., Python, Powershell, Java, .NET).
Knowledge and proficiency in managing and supporting solutions on Windows and Linux.
Experience supporting IT Infrastructure such as Virtual Machines, Networking, and DNS.
Knowledge and experience in the deployment and management of Docker and Kubernetes images and their hosting infrastructure.
Knowledge and experience in ML Pipeline Architecture, including Data Ingestion, Authentication, Data security, Model Registries, Serving, and Hosting infrastructure.
Strong expertise in administering, configuring, and monitoring enterprise AI models including Claude, ChatGPT, and Google Gemini.
Experience building governance frameworks for AI Agents, managing agentic permissions, tool execution, and runtime security controls.
Strong knowledge of identity and Access Management, API Connectivity, Model Context Protocol (MCP), Data Security, and API security.
Familiarity with security concepts such as adversarial examples, evasion attacks, data poisoning, model extraction/stealing, membership inference attacks, prompt injection, and supply chain risks.
Familiarity with data concepts such as data lineage, provenance tracking, and access controls over training data and embeddings.
Deep understanding of AI vulnerabilities and experience in securing LLMs within cloud environments.
Knowledge and experience in IT Security Best Practices, IT Governance, and Audit Procedures.
Knowledge of common information security frameworks and IT controls frameworks, such as ISO/IEC 27001, ITIL, COBIT/COSO, and NIST.
Excellent written and verbal communication skills.
Interpersonal and collaborative skills.
Ability to communicate security and risk-related concepts to technical and non-technical audiences.
Strong presentation skills for communicating architectural designs to executive leadership.
Leadership skills and ability to motivate people.

Skills

AI Security
AI Architecture
AI Solutions Deployment
AI Model Governance
AI Agents Management
Cloud Security (GCP, Azure, AWS)
AI Fin Ops
Network Security
Python
Powershell
Java
.NET
Windows Server Management
Linux Server Management
Virtual Machines
Networking
DNS
Docker
Kubernetes
ML Pipeline Architecture
Data Ingestion
Data Security
Model Registries
Model Serving
Model Hosting
Anthropic Claude
OpenAI ChatGPT
Google Gemini
AI Agent Governance
Identity and Access Management
API Connectivity
Model Context Protocol (MCP)
API Security
Security Concepts (Adversarial examples, Data poisoning, Prompt injection, etc.)
Data Lineage
Data Provenance
LLM Security
IT Security Best Practices
IT Governance
Audit Procedures
ISO/IEC 27001
ITIL
COBIT/COSO
NIST
Communication Skills
Presentation Skills
Leadership Skills

Location

Hybrid
Canada
Ontario
Toronto

Work Type

Hybrid
Remote

Experience Level

10+ years previous experience in a similar role/industry
Extensive hands-on experience designing and securing Google Cloud, Azure, and Google Workspace environments.

Education Level

Bachelors Degree
CISSP, CCSP (Certified Cloud Security Professional), or relevant cloud vendor certifications are a plus.

Salary/Compensations

$132,687 – $182,687 CAD

Benefits

Comprehensive benefits package

About the Company

Celestica (NYSE, TSX: CLS) enables the world’s best brands through a customer-centric approach, partnering with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment, and Energy. As a leader in design, manufacturing, hardware platform, and supply chain solutions, Celestica offers global expertise at every stage of product development. Headquartered in Toronto, with teams in 40+ locations across 13 countries, Celestica imagines, develops, and delivers a better future with its customers.

Equal Opportunity

Celestica 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, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
At Celestica, we are committed to fostering an inclusive, accessible environment where all employees and customers feel valued, respected, and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.