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. As a cybersecurity generalist at PwC, you will focus on providing comprehensive security solutions and experience across various domains, maintaining the protection of client systems and data. You will apply a broad understanding of cybersecurity principles and practices to address diverse security challenges effectively.

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.

Whyyou’lllove 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.

We’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).