AI Security Engineer

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AI Security Engineer

Date: Aug 23, 2026

Summary

This role primarily focuses on the design, review of AI Security architecture and as well as the deployment and management of AI Solutions at Celestica. It includes (but not limited to) the secure deployment of AI products/services, administration and governance of Ai Models (Anthropic, OpenAI, Google Gemini, etc.), deployment and management of Ai Agents and Infrastructure supporting Ai use cases. This role will also provide governance and oversight into the consumption of Ai, providing input into aspects such as the creation of usage policies, forecasting and optimizing token consumption, model selection while maintaining stringent security controls.

This role reports into the Corporate IT Security leadership and will work within the IT function and the business to ensure that we meet and exceed the security requirements from Celestica customers. This role will also have to coordinate with external vendors and internal IT teams to ensure that the cybersecurity requirements are met and exceeded.

Detailed Description

• Architects, designs, and secures Ai Solutions in multi-cloud environments, specifically focusing on Google Cloud Platform (GCP), Microsoft Azure, and AWS to enable secure deployment of enterprise AI solutions.
• Setup, maintenance and ongoing governance of various subscriptions to Ai Vendors such as Anthropic and OpenAI, (including AI Fin Ops)
• Architects, builds, and enforces security guardrails for AI Agents, establishing robust governance frameworks to monitor and control agentic behaviors.
• Participates in the security review of new applications with Ai Features.
• Leads the product selection or review for new cloud and AI security technologies, conducting Proof of Concepts (POCs) and technical evaluations
• Establishes and maintains effective relationships with process owners/sites to proactively assess business risks and develop risk mitigation.
• Design and Participation in the continued management and maintenance of AI security policies, Standards, guardrails and roadmaps.
• consumption of internal teams, namely Vertex Ai and Azure AI Foundry.
• Design AI Guardrails and rules to Secure AI Agents and data.
• Establishes and maintains effective relationships with process owners to proactively assess AI-related business risks, threats, and mitigation strategies.
• Designs and implements security controls for SaaS and PaaS AI integrations to ensure continuous data protection, DLP, and regulatory compliance.
• Communicates governance and compliance objectives, fostering a compliant and risk-aware security culture across internal engineering and product teams.
• Operational knowledge and experience deploying and running solutions in cloud (Microsoft Azure, Google Cloud Platform and AWS). Includes knowledge of Cloud and Ai Fin Ops
• Network
• Demonstrated development experience including Coding or Scripting experience (ie. Python, Powershell, Java, .NET)
• Knowledge and proficiency Managing and Supporting solutions on Windows and Linux.
• Experience supporting IT Infrastructure such as Virtual Machines, Networking, DNS
• Knowledge and Experience in the deployment and management of Docker and Kubernetes images (including their hosting infrastructure)
• Knowledge and Experience in ML Pipeline Architecture. Concepts of Data Ingestion, Authentication and Data security, Model Registries, Serving and Hosting infrastructure including knowledge of how Models are trained
• 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.
• Must have 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 and evasion attacks
    • Data poisoning and training-time attacks
    • Model extraction/stealing and inversion attacks
    • Membership inference attacks
    • Prompt injection (direct and indirect) and jailbreaking
    • Supply chain risks in pre-trained models, datasets, and third-party fine-tunes
    • Backdoors/trojans embedded in models
• Familiarity with Data Concepts such as (But Not limited to):
  • Data lineage and provenance tracking
  • Access controls over training data and embeddings
  • Deep understanding of AI vulnerabilities and experience in securing LLM’s within the 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 2701, ITIL, COBIT/COSO and ones from NIST.
• Excellent written and verbal communication skills, interpersonal and collaborative skills, and the ability to communicate security and risk-related concepts to technical and nontechnical audiences.
• Strong presentation skills for communicating architectural designs to executive leadership.
• Leadership skills, ability to motivate people.

Physical Demands

• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
• Occasional overnight travel is required.

Typical Experience

10+ years previous experience in a similar role/industry.

Extensive hands-on experience designing and securing Google Cloud, Azure, and Google Workspace environments.

Typical Education

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

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Celestica's policy on equal employment opportunity prohibits discrimination based on race, color, creed, religion, national origin, gender, sexual orientation, gender identity, age, marital status, veteran or disability status, or other characteristics protected by law.
This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines.

COMPANY OVERVIEW:
Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.

Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

This location is a US ITAR facility and these positions will involve the release of export controlled goods either directly to employees or through the employee's movement within the facility. As such, Celestica will require necessary information from all applicants upon an applicant's acceptance of employment to determine if any export control exemptions or licenses must be filed.

Nearest Major Market: Dallas
Nearest Secondary Market: Fort Worth
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