Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Cybersecurity & PrivacyManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data.The Opportunity:
As a Cyber AI and Data Engineering Senior Associate , unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t limited to:
Support building agents in Databricks, Co-Pilot or other LLM tools.
Develop MCP servers to connect to core cyber and data infrastructure.
Act as a primary interface between security teams and AI capabilities.
Help improve our AI frameworks with increased observability, updated governance policies, etc.
Agent Development
MCP Tool Development and Integration
Design, build, and maintain a library of MCP-compliant tools and servers that integrate across the security stack — SIEM, EDR/XDR, SOAR, threat intelligence platforms, and ticketing systems
Team Enablement
Build intuitive AI-powered interfaces, copilots, and chat assistants that allow security users to run investigations and query data in natural language
Reporting and Documentation
Maintain a centralized, version-controlled knowledge base covering all MCP tools, agent configurations, and workflow logic, alongside a living AI risk register that documents known limitations, failure modes, and compensating controls for every deployed system
Collaboration and Communication
Work closely with other cybersecurity, infrastructure, and data teams.
Collaborate with team members and participate in knowledge sharing on AI agents and agentic building best practices.
Continuous Improvement
Continuously evaluate and improve AI methodologies and tools.
Assist with quality checks, lessons learned activities, and root cause analysis across supported environments.
Professional Development
Develop practical expertise in building agentic capabilities and leveraging industry best practices.
Pursue continuous professional development to strengthen knowledge of emerging tools and technologies.
What You'll Bring:
Your skills, knowledge, and experiences are what set you apart. Here's what we look for:
2+ years working in cybersecurity engineering or DevSecOps role
1+ year working with LLMs, and AI application development (prompt engineering, RAG, etc)
Experience with MCP and orchestration frameworks (LangChain / LangGraph) for LLM agents
Proficiency in python, REST APIs (OpenAI API etc)
Familiarity with security platforms such as Microsoft Defender, Google SecOps, CrowdStrike or similar
Familiarity with cloud environments such as Azure or AWS
This role requires Enhanced Security Clearance. As part of our hiring process, Security Clearance is mandatory for all personnel assigned to these roles. Prior to applying, please review the Government of Canada website to ensure you meet eligibility requirements. Obtaining this clearance will be an employment condition should you receive an offer from PwC.
Pwc Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer
This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.
The salary range for this position is $84,700 - $134,700. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.
Why you’ll love PwC
We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc
PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Azure Data Factory, Communication, Creativity, Cybersecurity, Cybersecurity Framework, Cybersecurity Policy, Cybersecurity Requirements, Cybersecurity Strategy, Embracing Change, Emotional Regulation, Empathy, Encryption Technologies, Inclusion, Intellectual Curiosity, Learning Agility, Managed Services, Optimism, Privacy Compliance, Regulatory Response, Security Architecture {+ 8 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
May 20, 2026We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).