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PwC

Senior Associate, Cyber Strategy, Risk & Compliance – AI Engineering for Cybersecurity

PwC

Senior Associate analyzing complex cybersecurity problems using AI-driven solutions at PwC. Mentoring junior team members and building meaningful client relationships while enhancing cybersecurity knowledge.

Posted 6/19/2026full-timeNew York City • District of Columbia, Illinois, Massachusetts, New York • 🇺🇸 United StatesSenior💰 $77,000 - $202,000 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudCyber SecurityDockerGoogle Cloud PlatformPython

About the role

Key responsibilities & impact
  • Develop, test, and deploy AI/ML systems and applications for cybersecurity use cases, such as threat detection, risk management, and security operations automation
  • Implement and maintain data pipelines for model training and inference on cloud platforms like AWS and GCP
  • Build proofs-of-concept and prototypes for innovative agentic and generative AI systems to solve specific client security problems
  • Write clean, high-quality, and production-ready code and documentation for AI-powered security solutions
  • Collaborate with senior team members to contribute to the design and architecture of AI-enabled security solutions
  • Assist in developing and presenting technical findings and the results of your work to both technical and non-technical stakeholders

Requirements

What you’ll need
  • Bachelor's Degree
  • At least 3 years of experience in software development or AI/ML engineering
  • Demonstrating proficiency in Python and AI/ML frameworks
  • Building applications with LLM orchestration frameworks
  • Implementing cloud-native AI services on AWS or GCP
  • Gaining experience in a cybersecurity-related domain
  • Contributing to open-source projects in AI or cybersecurity
  • Utilizing ML Ops tools and practices such as Docker, Kubemetes, CI/CD for models
  • Working with AI-enabled automation platforms such as Swimlane, Torq or Tines
  • Professional certifications in cloud platforms preferred (e.g. (e.g., AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer)

Benefits

Comp & perks
  • medical
  • dental
  • vision
  • 401k
  • holiday pay
  • vacation
  • personal and family sick leave
  • annual discretionary bonus

ATS Keywords

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Hard Skills & Tools
PythonAI/ML frameworksLLM orchestration frameworkscloud-native AI servicesML OpsDockerKubernetesCI/CDAI-powered security solutionsdata pipelines
Soft Skills
collaborationcommunicationpresentation skillsproblem-solvingtechnical writing
Certifications
Bachelor's DegreeAWS Certified Machine Learning - SpecialtyGoogle Professional Machine Learning Engineer