PwC
Cybersecurity & Privacy
CyberAIandDataEngineeringSeniorAssociate
Neural analysis suggests this role is
optimal for Senior Associate candidates.
“Cyber AI and Data Engineering Senior Associate at PwC. Skills: Cyber AI, Data Engineering, LLM tools, MCP servers, Security infrastructure integration, AI frameworks, Agent Development, MCP Tool Development, Team Enablement, Reporting, Documentation, Collaboration, Continuous Improvement. Support building agents in Databricks, Co-Pilot or other LLM tools. Develop MCP servers to connect to core cyber and data infrastructure”
What You'll Achieve.
Drive meaningful outcomes that’ll elevate your career; Elevate your career; Deliver distinctive value for our clients and stakeholders; Build trust and deliver sustained outcomes
Industry & Context.
Address diverse security challenges effectively; Identify vulnerabilities; Develop secure systems; Provide proactive solutions to safeguard sensitive data; Root cause analysis
Enhanced Security Clearance, Security Clearance is mandatory for all personnel assigned to these roles, Obtaining this clearance will be an employment condition should you receive an offer from PwC
What They're Looking For.
Must Have
2+ years working in cybersecurity engineering or DevSecOps role, 1+ year working with LLMs, and AI application development (prompt engineering, RAG, etc), Enhanced Security Clearance
Nice to Have
Experience with MCP and orchestration frameworks (LangChain / LangGraph) for LLM agents
What You'll Do.
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
and maintain a library of MCP-compliant tools and servers that integrate across the security stack
Build intuitive AI-powered interfaces
and chat assistants that allow security users to run investigations and query data in natural language
Maintain a centralized
version-controlled knowledge base covering all MCP tools
Maintain a living AI risk register that documents known limitations
and compensating controls for every deployed system
Continuously evaluate and improve AI methodologies and tools
Assist with quality checks
lessons learned activities
and root cause analysis across supported environments
How You'll Work.
Team & Collaboration
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
Communication Scope
Natural language querying
Full Job Description
**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Cybersecurity & Privacy **Management Level** Senior Associate **Job 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. 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
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