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

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In regulatory risk compliance at PwC, you will focus on confirming adherence to regulatory requirements and mitigating risks for clients. You will provide guidance on compliance strategies and help clients navigate complex regulatory landscapes.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity
As part of the Cyber Strategy, Risk & Compliance team, you will be at the forefront of transforming cybersecurity for our clients through innovative, AI-driven solutions. As a Senior Associate, you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the intricacies of cybersecurity challenges. This role offers the chance to work with advanced technologies, empowering you to enhance your technical knowledge and personal brand in a rapidly evolving field.
Responsibilities
- 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.
What You Must Have
- Bachelor's Degree
- At least 3 years of experience in software development or AI/ML engineering
What Sets You Apart
- Master's Degree in software development, AI/ML engineering, or another relevant technical field preferred
- 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)
The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.