Data Engineering Developer building scalable Azure data pipelines for an agile tech development firm. Advising clients, implementing governance, and improving cloud data engineering standards.
About the role
- Senior Associate in Cyber AI and Data Engineering at PwC, focusing on providing security solutions. Involves building AI tools, enhancing cybersecurity frameworks, and collaborating across teams.
Responsibilities
- 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 AI frameworks with increased observability, updated governance policies, etc
- 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
- Build intuitive AI-powered interfaces, copilots, and chat assistants for security users
- Maintain a centralized, version-controlled knowledge base covering all MCP tools, agent configurations, and workflow logic
- Collaborate with other cybersecurity, infrastructure, and data teams
- Continuously evaluate and improve AI methodologies and tools
- Pursue continuous professional development on emerging tools and technologies.
Requirements
- 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
- Enhanced Security Clearance is mandatory for all personnel assigned to these roles.
Benefits
- Competitive compensation package
- Flexible work arrangements
- Professional development opportunities
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